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Job ID: 715747BR Date posted: Jan. 28, 2026 Description:What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work This position is for an experienced professional engineer to become a member of the Solid State Radar Active Electronically Scanned Array (AESA) Subsystem Engineering team. This engineer will support the development of radar/antenna manager applications for deployment on real-time hardware. The engineer will have the opportunity to design and document antenna processing hardware/software architectures, design and analyze processing algorithms, perform modeling and simulation, and develop and execute test plans. The engineer will work on cross-discipline teams of systems, hardware, software, firmware, and test engineers while supporting all phases of development from concept through customer qualification testing. This position requires a U.S. DoD Security Clearance at the SECRET level. This position is located at a facility that requires special access. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicated to pushing the boundaries of what's possible. Learn more about IWSS Why Join Us Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's comprehensive benefits package here! Explore some of the cutting‑edge technologies we support: #REAS Basic Qualifications: • BS Degree in Electrical Engineering, computer science, or Electrical and/or Computer Engineering, • Experience with requirements development and performance analysis, • Experience with MATLAB, DOORs, MBSE, • Experience testing processing hardware and/or software, • Understanding application of Design Patterns, • Experience with GIT, • Experience with Code Optimization, • 1LMX IBM tools including Rhapsody, DOORS Next Generation, and Jazz, • Self Motivator and able to communicate effectively Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full time employees: accrue 10 hours per month of Paid Time Off (PTO); receive 40 hours of Granted PTO annually for incidental absences; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of PTO per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO is prorated based on hours worked and start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Other Type: Full-Time Shift: First

Senior Lead AI Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (MLX) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (GenAI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions that support business analytics and operational reporting. The ideal candidate will have strong expertise in SQL, data modeling, and cloud-based data platforms, with the ability to build efficient data pipelines and optimize database performance. *The schedule is 4 days in the office in Montvale, NJ and 1 day remote. Required Qualifications: Education • Advanced SQL expertise with 5+ years of experience, including window functions, common table expressions (CTEs), and query optimization., • Strong knowledge of relational database management systems (RDBMS) and data modeling principles., • Experience working with cloud-based data platforms, particularly Azure Data Services and modern data warehouse technologies., • Proficiency in Python for scripting, automation, and data manipulation., • Strong analytical and problem-solving abilities., • Excellent communication skills with the ability to collaborate across technical and non-technical teams., • Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications • Experience working with NoSQL databases such as Cosmos DB or MongoDB., • Familiarity with big data frameworks including Apache Spark or Kafka., • Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or Google Professional Data Engineer. Tools & Technologies • SQL development environments such as DBeaver and SSMS, • Cloud management consoles, • Git for version control, • Jira for project and workflow management, • SSIS and related ETL technologies Industry • Leasing

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: A Senior Field Engineer (SFE) will focus on commissioning complex systems. Commissioning involves the testing and fine tuning of all the equipment in the system to ensure it is working well, independently and as a system, per the design intent. The SFE will travel to the customer's site, and ensure the system is installed, setup and operating as designed. The SFE should be able to solve issues as they arise and be able to communicate with the team as needed. This position will mentor other FE's and assist other FE's through remote online support. The Territory covers New England: Must live within the Territory What You'll Do: • Commission systems in the field. The SFE will optimize all the settings in the equipment to ensure the system is operating as designed. Audio, video, displays, control and networking all have different optimization and adjustment needs., • The SFE will work closely with the system programmer to ensure the control system is functioning as without any issues. Remote systems work with programmers is common to load new code and troubleshoot issues., • May be required to regularly lead a team on large projects., • The SFE should be able to provide simple code and touch panel updates under the direction of the assigned programmer., • Keep current on technology, latest firmware updates, common field issues, • Diagnosing known and found problems and formulating solutions, • The SFE will mentor and provide remote assistance and support to other FE's. Complexity: The field aspect complicates commissioning a system. The SFE needs to have a high level of knowledge on a wide variety of equipment and different manufacturers. Deep understanding of audio, video, control and networking systems is important. This position requires coordination with a wide variety of stakeholders to ensure success. Providing training and support for other FE's and for the most complex systems and tasks requires a very experienced person with exceptional people skills. Decision Making Authority: The SFE typically will be working alone after the installation is substantially complete, but still will coordinate with other team members to ensure a smooth project completion and good communication. Project managers, engineers and others will be available to answer questions. Physical Working Environment: Physical Demands: The physical demands described here are representative of those that may be met by an employee. The employee may be exposed to construction site conditions on a regular basis. Employee will be responsible for their safety while on job sites and to comply with all safety regulations in place by the GC. Use of PPE is usually required on job sites. The employee can typically spend at least 50% of their time on their feet and be required to mobile around the construction site. The employee must have the ability to occasionally climb ladders, use stairs and lift and/or move materials up to 40 pounds in construction areas. The individual is regularly required to use keyboards, test equipment and controls required for SI installation projects. Specific vision abilities required for this job include close vision, distance vision, peripheral vision and depth vision. When not on construction sites, the employee will experience normal office conditions and be required to use office equipment such as computers, peripherals, etc. Travel: Frequent travel by car and occasional airplane trips are required. Employee must possess a valid driver's license in their state of residence. Employee will use a company vehicle. Local travel to job sites (within a 2 hour driving distance each way) will make up 70-90% usually but remote travel can be up to 30% of the job at times. 10% remote travel is required on a regular basis. What You'll Bring: Education & Certifications: • Networking knowledge and/or certifications, • ISF Certification for displays is desired, • AVIXA CTS Certification is required, • AVIXA CTS-D or CTS-I is preferred, • DSP certification from one or more of the following manufacturers: Biamp, QSC, BSS, • Level one programming/configuration certification from Crestron and/or Extron, • Other relevant certifications may be required or preferred based on the technology focus of the position. Required Skills/Qualifications: • Five or more years directly related experience as an FE., • Excellent Verbal and Written English Skills. Good customer service skills., • Field installation and/or system design experience, • Employee must possess a valid driver's license in their state of residence, • Be familiar with audio, video and network-based systems and equipment, • Ability to diagnose, troubleshoot and resolve complex technical problems What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. We are seeking a strategic and technical AI Product Owner to serve as the primary architect for key "AI-First" internal marketing products. This is a high-impact, hybrid role for a "player-coach" who refuses to choose between strategy and code. You will not just own the roadmap; you will lead the technical development of agentic workflows, conversational data interfaces, and automated content engines. You will be responsible for the full lifecycle: from identifying $100M+ growth opportunities with leadership to personally engineering the LLM guardrails and MLOps pipelines that bring those opportunities to life. We are not looking for someone to manage a team that builds; we are looking for the lead builder who sets the standard for the organization. Responsibilities include:Strategic Vision & Hands-On Prototyping... * Own the long-term AI product vision, identifying high-friction areas in marketing (e.g., audience discovery) and architecting AI-powered solutions to solve them. * Lead rapid prototyping (POCs) by personally developing initial versions of AI agents, using Python, LangChain, or similar frameworks to prove value before scaling. * Prioritize the AI backlog, making decisive trade-offs based on both business impact and technical feasibility. Full-Stack AI Development & Ownership... * Build and maintain the core AI capabilities ensuring they are scalable, reusable, and have easy integration across common marketing/sales tech stacks. * Engineer RAG pipelines and context-aware systems that democratize data access for non-technical users, reducing "time-to-insight" from weeks to minutes. * Act as the Lead Product Owner and Engineer, maintaining a consolidated backlog that balances new feature code, technical debt, and model optimization. Governance, Safety & MLOps... * Develop and code automated "human-in-the-loop" guardrails to ensure all AI-generated content meets legal, privacy, and brand-safety standards. * Establish MLOps best practices for the squad, including versioning datasets, monitoring model drift, and managing deployment cycles. * Define and track Success Metrics that matter: from 20% capacity unlocks (FTE) to technical KPIs like throughput and hallucination rates. Technical Leadership & Evangelism... * Serve as the technical authority for the "build squad," providing mentorship through code reviews and architectural guidance. * Communicate complex technical trade-offs to non-technical stakeholders, evangelizing AI solutions to drive organization-wide adoption. Where You'll Be Working...In this hybrid role, you must reside within a commuting distance to one of the work locations listed on this position, and your work will include work from home and assigned office days set by your manager. What We're Looking For...The ideal candidate is a technical architect with a business brain. You are likely an engineer who found yourself obsessed with the "why" and "how much value," or a Product Manager who never stopped coding and started building their own tools. You thrive in ambiguity and prefer shipping code to making slide decks. You are a "systems thinker" who understands that a great model is useless without a great workflow around it. You'll need to have... * Bachelor's degree or four or more years of work experience. * Six or more years of relevant work experience. * Six or more years of hands-on experience building/deploying Machine Learning or AI systems or proven track record as a Product Owner/Manager, with the ability to manage a complex, technical backlog and lead engineering squads. * Experience working with LLM architectures, Prompt Engineering, and RAG systems as a daily part of your current role. Even better if you also have... * 12+ years of total experience, with at least 5 years of hands-on experience building/deploying Machine Learning or AI systems or proven track record as a Product Owner/Manager, with the ability to manage a complex, technical backlog and lead engineering squads. * Bachelor's or Master's degree in Computer Science, AI, or a related technical field. * Advanced proficiency in Python and experience with AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow). * Experience building "Agentic" ecosystems where multiple AI agents collaborate on complex tasks. * Experience with Cloud Data stacks (BigQuery, Snowflake) and integrating AI into enterprise MarTech (CRM, CMS). * Prior experience in B2B Marketing tech stacks, specifically for ecommerce or personalization. * Knowledge of Privacy-Enhancing Technologies (PETs) and global AI regulations (GDPR/CCPA). * Contributions to open-source AI projects or a portfolio of deployed generative AI applications. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. 40 Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $133,000.00 - $255,000.00. The annual salary range for the Colorado location(s) listed on this job requisition based on a full-time schedule is: $146,000.00 - $255,000.00. The annual salary range for the Illinois location(s) listed on this job requisition based on a full-time schedule is: $146,000.00 - $255,000.00. The annual salary range for the Maryland location(s) listed on this job requisition based on a full-time schedule is: $146,000.00 - $255,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $146,000.00 - $255,000.00.

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Location: Brooklyn, NY or Bay Area preferred Mathpix is looking for a Senior Machine Learning Engineer with deep expertise in computer vision, sequence modeling, and multimodal AI. As a leader on our ML team, you'll play a pivotal role in advancing the state of the art in OCR and related applications, building custom models that push the boundaries of what's possible in text recognition, document understanding, and multimodal learning. The ideal candidate has a PhD in CS, ML, CV, NLP, or a related field, and many years of experience designing, training, and deploying deep learning models at scale. They have worked on sequence-to-sequence models, attention mechanisms, and large multimodal systems, and are motivated by the challenge of building production-grade AI models for mission-critical applications. Responsibilities: • Research, design, and implement custom deep learning models for OCR and multimodal document understanding tasks, • Build and train sequence-to-sequence and attention-based architectures for text recognition, translation, and generation tasks, • Lead development of multimodal language models that combine vision and text for real-world applications (e.g., image-to-text, document parsing), • Optimize and extend PyTorch-based training pipelines for large-scale datasets and high-performance inference, • Collaborate with product and engineering teams to integrate models into production systems, ensuring scalability, robustness, and efficiency, • Work closely with the in-house data team to define, generate, and curate high-quality training data, enabling rapid iteration on bug fixes and the development of new features, • Mentor junior engineers and provide technical leadership in model architecture, experimentation, and deployment best practices Required skills: • PhD in Computer Science, Machine Learning, Computer Vision, NLP, or a related field, • 3+ years of hands-on experience in deep learning research and development, • Strong expertise in sequence-to-sequence models, attention mechanisms, and Transformer-based architectures, • Proven experience building and training custom models in PyTorch (not using off-the-shelf models), • Track record of work in one or more of the following areas: machine translation, text generation, speech-to-text, OCR, image captioning, or related multimodal tasks, • Deep understanding of core ML concepts: optimization, regularization, model scaling, and distributed training, • Demonstrated ability to take models from research to production in a high-stakes environment Nice to have: • Experience with large-scale multimodal foundation models and techniques for fine-tuning/adaptation, • Knowledge of advanced evaluation methodologies for sequence and multimodal models, • Publications in top ML/AI/vision conferences or journals (e.g., NeurIPS, CVPR, ACL, ICML), • Experience mentoring teams and driving research agendas in applied AI settings, • Experience working at a startup or high-growth company is a strong plus - bonus points if you've been part of a founding or early engineering team, • Contributions outside of work (personal projects, open-source work, published articles, or blog posts) are a strong plus and speak for themselves

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Entelligence is seeking an Engineer to support our Palo Alto’s clients. The successful candidate must be able to work in a cross-functional environment and interact with representatives from Entelligence, Palo Alto Networks, and the end-user. As an Engineer for Cortex XSIAM, you will be responsible for assisting with the log migration and detection strategy of our customers. You will work closely with the technical lead to ensure that all of the relevant log sources are onboarded and ingested into XSIAM in accordance with industry best practices and customer requirements. You will then work to determine a suitable detection strategy, helping to protect customers from threats, by designing and implementing correlation rules. RESPONSIBILITIES: • Work with technical lead to develop log ingestion strategy, • Contribute to detection strategy based on industry best practices, • Detail step by step process to ingest high quality log sources, • Perform log source monitoring and optimization, • Create high quality correlation rules, • Tune log sources and correlation rules, • Be an SME for SIEM, Correlation and Log Source Ingestion, • Recognize opportunities where automation can improve analyst alert handling, • Collaborate with internal and external teams to ensure product adoption, • Create technical documentation detailing SIEM aspects of the engagement, • Travel to customer meetings and workshops as needed (10%) JOB REQUIREMENTS: • Strong communication (written and verbal) and presentation skills, both internally and externally, • Fluent English is a requirement - Any other language is a plus, • 3+ years of deploying and integrating (SIEM) to enterprise to large enterprise-level, • Coordinating and conducting event collection, log management, event management, compliance automation, and identity monitoring activities using (SIEM) platforms, • The ability to create and develop correlation and detection rules, within a (SIEM) to support alerting capabilities, • Experience working with and deploying a variety of SIEM technologies (i.e Splunk, IBM QRadar), • A proven ability to offer suggestions on detection strategy based on customer requirements, • Ability to understand logs, locating and understanding 3rd party documentation where needed, • Familiarity with reports on the status of the SIEM to include metrics on items such as number of logging sources - log collection rate, and other performance metrics, • Knowledge of Security Analysis & Response a plus, including both endpoint, network & cloud based environments • 3 years experience with Security Operation Centers tooling and processes, • Relevant bachelor's degree or industry recognized qualifications (CISSP, GIAC, SIEM Vendor Qualification etc)• Ability to read and understand technical design documentation • Ability to create technical design documentation BENEFITS • Competitive base salary, • Medical, dental, vision and life insurance, • Vacation, sick time and paid holidays, • Matching 401(k) program ENTELLIGENCE. ALWAYS READY. Since 1997, Entelligence has provided mission critical project delivery capacity for uninterrupted growth and long-term market leadership to the industry’s biggest enterprise IT brands. Our commitment to close working partnerships and a proven approach for sustainable success is why Entelligence is Always Ready to help the world’s technology leaders quickly deliver their most advanced IT solutions to their most important customers.

W2 ONLY No C/C No Corp-to-Corp employers 100% remote Lead AI Engineer Location: Remote Duration: Contract Work Authorization: USC or GC only Interview Process: Background check required Important: Candidates must be able to travel to one of the client’s offices on Day 1 for onboarding verification: Denver, CO; New York, NY; Atlanta, GA; Plymouth Meeting, PA; Overland Park, KS; or St. Petersburg, FL. We are seeking an experienced Lead AI Engineer to help turn AI initiatives into secure, production-ready, enterprise-scale solutions. This role will focus heavily on Agentic AI systems and will partner closely with AI, engineering, and product teams. The ideal candidate brings a strong blend of hands-on engineering expertise, architecture knowledge, and leadership ability. This person will help bridge business needs, technical standards, and implementation to ensure AI solutions are scalable, reproducible, secure, and aligned with long-term enterprise strategy. Key Responsibilities • Design, build, and deploy full-stack applications using Python and React, • Architect secure, scalable systems with strong focus on security, compliance, and best practices, • Lead internal AI initiatives, including support of existing AI-enabled products and delivery of new AI-driven solutions, • Provide guidance to teams on how to leverage AI effectively across the organization, • Build and integrate agentic AI systems using modern LLM and GenAI technologies, • Collaborate with cross-functional teams to scope, prototype, and deliver AI solutions quickly, • Serve as a technical partner to business teams to identify AI opportunities that improve efficiency, reduce risk, and enhance customer experience, • Integrate GenAI models into full-stack applications and internal workflows, • Contribute to prompt engineering, fine-tuning, and evaluation of model outputs, • Build reusable services for multi-agent orchestration and task automation, • Optimize AI inference pipelines for scalability, latency, and cost efficiency, • 7+ years of full-stack development experience with technologies such as Python, JavaScript, Node.js, and React, • Strong experience with LLM frameworks such as LangChain and Bedrock, • Experience with AI-enabled workflows and data processing in Python, • Strong knowledge of LLMs, prompt engineering, RAG architecture, and Agentic AI, • Deep understanding of embeddings, vector databases, and retrieval pipelines, • Experience with Git, CI/CD, DevOps, and production-grade GenAI deployment practices, • Hands-on experience with Docker, Kubernetes, and cloud-native deployment, • Knowledge of AI observability, model monitoring, and cost optimization, • Strong communication skills with ability to work across technical and non-technical teams, • Experience in financial services or other highly regulated environments, • Familiarity with core banking systems or similarly complex enterprise platforms

Job: AI/ML Engineer Location: Newark, NJ/Hybrid Duration: 6+ Months Contract to Hire. Note: This is open for W2 only. Requisition for Lead Machine Learning Engineer (Generative AI Focus) Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. Key Responsibilities: • Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings., • Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations., • Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation)., • DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency., • Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance., • Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads., • Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems., • Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently., • Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments. Qualifications: • Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred, • At least five plus years' experience as a machine learning engineer, deploying models in production, • Strong proficiency in Python and software engineering principles., • Solid understanding of machine learning fundamentals and model lifecycle management., • Experience with cloud platforms, containerization, and infrastructure management., • Familiarity with DevOps practices and automation tools., • Expertise in GenAI frameworks, prompt engineering, and model serving., • Ability to manage GPU/TPU resources and optimize model serving frameworks., • Experience in developing agentic systems and multi-agent architectures., • Proven track record in cost optimization in AI deployments.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

We’re looking for a Senior Software Engineer who wants to build systems that operate at real-world scale — and materially improve healthcare quality across the United States. This isn’t a feature factory role. You’ll own architecture, solve ambiguous distributed systems problems, and build AI-powered infrastructure that processes high-volume clinical data with strict performance, reliability, and compliance requirements. If you’ve built production systems at scale and want more ownership, faster iteration cycles, and direct product impact — this is that opportunity. What You’ll Work On • Architect and scale distributed, fault-tolerant systems on AWS designed for high throughput and low latency, • Design backend services that process and analyze complex clinical datasets across thousands of providers, • Build AI-driven workflows that automate decision-heavy medical review processes, • Make critical decisions around system design, performance optimization, and long-term architecture, • Partner directly with Product and leadership to shape technical strategy — not just execute tickets, • Raise the engineering bar through code quality, thoughtful design reviews, and mentorship What We’re Looking For • 6+ years building production-grade backend systems, • Strong experience in Python and/or TypeScript, • Deep familiarity with AWS infrastructure and cloud-native architectures, • Proven experience designing scalable distributed systems, • Experience in high-growth, high-ownership environments, • Strong product sense and ability to navigate ambiguity, • A track record of shipping high-quality systems that scale Why This Role Is Compelling for Top Engineers • Hard technical problems at the intersection of AI, distributed systems, and healthcare, • Real ownership over architecture and long-term technical direction, • High leverage work — small team, outsized impact, • Mission-driven impact — your systems directly affect patient safety and care quality, • Opportunity to build foundational infrastructure in a rapidly scaling platform If you’re looking for a role where technical excellence matters, ownership is real, and your work has tangible national impact — we should talk.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

The Integration Engineer (Contractor) will be responsible for the design, development, implementation, and ongoing support of data integration solutions within the InterSystems HealthShare platform. This role plays a critical part in enabling the seamless exchange, transformation, and optimization of clinical and operational data across multiple healthcare systems. The ideal candidate brings strong expertise in healthcare data standards, interface development, and the software development lifecycle, with the ability to independently deliver scalable integration solutions. Contract duration: 5-6 months with strong potential for extension or full-time conversion QUALIFICATIONS • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience), • 5+ years of experience in software development and system integration, • Hands-on experience with healthcare integration standards: HL7 v2 (ADT and clinical messages required) | CCD / C-CDA document exchange, • Strong understanding of interface engines and healthcare data exchange architectures, • Experience with file parsing and transformation (XML, XSLT, etc.), • Familiarity with X12 transactions is a plus, • Knowledge of object-oriented programming principles preferred, • Strong analytical, problem-solving, and communication skills, • Ability to work independently and collaborate effectively with both technical and non-technical stakeholders This role will sit HYBRID in New York, NY

Sr. Salesforce Administrator, Business Systems Engineer Location: New York, NY - Onsite About the Role A growing investment firm is seeking a Salesforce Admin and Business Systems Engineer to own and evolve its core CRM and internal business systems. This role sits at the intersection of Salesforce administration, development, and business process optimization, supporting sales, underwriting, and operations teams. This is not a ticket-taking admin role — you will be responsible for how the business runs inside Salesforce, including automation, integrations, and data integrity across critical workflows. What You’ll Be Doing • Own and manage the Salesforce platform (configuration, customization, and ongoing optimization), • Build and maintain flows, automation, and workflow logic to streamline operations, • Develop and support integrations between Salesforce and internal/external systems (APIs, data syncs, third-party tools), • Partner with business stakeholders to translate operational needs into scalable system solutions, • Maintain data quality, governance, and reporting accuracy across the platform, • Troubleshoot system issues, broken workflows, and data inconsistencies end-to-end, • Strong hands-on experience with Salesforce (Admin + Development exposure), • Experience building Flows, Process Builder, or similar automation tools, • Working knowledge of Apex, Lightning Components (LWC), or Salesforce customization, • Experience with integrations (APIs, middleware, or data sync tools), • Strong understanding of data structure, validation, and system governance, • Experience in financial services, lending, or high-volume sales environments, • Exposure to backend scripting (Python, Node, etc.), • Familiarity with cloud tools or Microsoft ecosystem (Azure, Intune, etc.), • Systems-minded — you think beyond tickets and focus on end-to-end workflows, • Detail-oriented with a strong sense of ownership and accountability, • Comfortable operating in a fast-paced, in-office environment, • Able to balance admin work, light development, and business-facing problem solving

Role: Senior Analyst / Engineer, Automation and Integration This team focuses on improving how marketing technology is used, connected, and scaled. The work centers on turning fragmented tools and processes into systems that actually drive results. It blends technical depth with practical problem solving, and it requires someone who can translate business needs into working solutions. The goal is simple. Make systems easier to use, more connected, and more valuable to the people relying on them. What you’ll do • You’ll take ownership of automation and integration efforts across key marketing platforms. That includes designing workflows, improving systems, and making sure everything works reliably at scale., • A big part of the role involves building and maintaining automated content solutions. You’ll design data models, create SQL-based data sources, and ensure outputs are accurate and consistent., • You’ll also act as the go-to expert for a content automation platform, using built-in features and APIs to extend its capabilities. That includes integrating with other systems, shaping how the platform evolves, and translating business needs into clear technical solutions., • You won’t be working in isolation. You’ll partner closely with teams across technology, marketing, sales, and client service to gather input, solve problems, and improve how systems are used day to day., • This role also involves leading implementation efforts. You’ll guide projects from early design through launch, then stay involved to make sure adoption sticks and performance improves over time., • You’ll help drive change. That means explaining new systems in a way people understand, addressing resistance, and making transitions smoother for both technical and non-technical stakeholders., • You’ll often manage multiple projects at once. Keeping work on track, managing risks, and aligning stakeholders will be part of your day-to-day., • You’ll also support and mentor less experienced team members while helping establish best practices the team can reuse. Key areas of focus Automation and platform optimization • Build and scale automated content workflows using structured data and templates, • Design and manage SQL-driven data sources, • Ensure all outputs meet high standards for accuracy and consistency, • Evaluate new platform features and determine their business value, • Turn business needs into clear technical designs and implementation plans, • Use APIs and integrations to extend platform capabilities, • Work with teams across the organization to gather feedback and improve systems, • Provide hands-on support during and after implementation Systems innovation and change management • Communicate the value of new tools and processes in a clear, practical way, • Identify risks early and address barriers to adoption, • Support teams through change and encourage continuous learning, • Gather feedback from stakeholders and use it to improve systems, • Lead delivery across multiple projects, ensuring quality and alignment What you bring • Around 5 or more years of experience in SaaS implementation, engineering, automation, or consulting, • Experience working with enterprise platforms such as CRM, marketing tech, or content systems, • A background in solution architecture, data engineering, or technical consulting, • At least 3 years working on system implementation, integration, or solution development, • Experience building automation workflows or reporting solutions, • Some experience leading change initiatives and driving adoption of new tools or processes Skills that matter here • Strong SQL skills and a solid understanding of database fundamentals, • Comfort working with SaaS platforms, data tools, and automation systems, • Familiarity with APIs, web services, and system integrations, • Ability to quickly understand new tools and concepts, • Clear communication skills across both technical and non-technical audiences, • Confidence presenting ideas and influencing decisions, • Strong problem-solving skills and the ability to work through complexity, • A practical understanding of analytics and business data

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Summary We are seeking an experienced Manufacturing Process Engineer with experience in powder-based manufacturing, with a strong chemistry background to lead and optimize manufacturing operations. This role is responsible for the design, improvement, and oversight of production processes, ensuring efficiency, quality, safety, and regulatory compliance. The ideal candidate combines hands-on plant experience with technical leadership, customer interaction, and cross-functional collaboration to drive continuous improvement across operations. Key Responsibilities • Design, develop, test, and improve mechanical systems, equipment, and process applications., • Analyze and optimize chemical and manufacturing processes to increase throughput, improve efficiency, and reduce waste., • Schedule and manage production operations involving blending, milling, drying, and screening equipment for maximum efficiency., • Lead employees across production and technical operations., • Oversee preventive maintenance and downtime activities to ensure operational reliability., • Conduct client laboratory testing, including data intake, feasibility studies, process development, optimization, and final reporting; ensure high client satisfaction., • Perform root cause analysis on process failures and implement corrective and preventive actions., • Manage operational budgets and present performance metrics and financial results to leadership., • Collaborate with operations, R&D, quality, and regulatory teams to implement new or improved processes., • Develop, maintain, and manage technical documentation, including SOPs, certifications, regulatory filings, and compliance records., • Bachelor’s degree in Chemical Engineering, Process Engineering, or a related field., • Minimum of 5+ years of process engineering experience, • Experience in powder-based manufacturing within pharmaceutical, nutraceutical, cosmetic, or chemical industries., • Hands-on experience with laboratory equipment, including particle size analyzers, microscopes, moisture balances, and scales., • Proven ability to work directly with customers and present technical findings., • Strong understanding of chemical engineering fundamentals, including fluid dynamics, thermodynamics, and heat transfer., • Knowledge of industrial electrical control panels and their integration with manufacturing equipment., • Strong regulatory background, with responsibility for maintaining FDA, DEP, EPA, cGMP, SQF, and related programs., • Proficiency with CAD and process simulation software is a plus., • Excellent analytical, problem-solving, and organizational skills.

Job Summary We are seeking a skilled Palo Alto Firewall Engineer to design, implement, manage, and optimize Palo Alto Networks security solutions. The ideal candidate will have strong hands-on experience with next-generation firewalls and a solid understanding of network security principles to protect enterprise environments. Key Responsibilities • Design, deploy, configure, and maintain Palo Alto Networks firewalls (PA-Series, VM-Series), • Manage security policies, NAT rules, VPNs (IPSec/SSL), and threat prevention profiles, • Configure and manage Panorama for centralized firewall management, • Monitor firewall performance, logs, and alerts; troubleshoot network and security issues, • Implement security best practices, including application control, URL filtering, and SSL decryption, • Perform firewall rule reviews, audits, and policy optimization, • Support network segmentation and Zero Trust security initiatives, • Collaborate with network, security, and IT teams to support business requirements, • Maintain documentation for configurations, procedures, and network diagrams, • Participate in change management and on-call support as required Required Skills & Qualifications • Strong experience with Palo Alto Networks firewalls, • Hands-on knowledge of Panorama, • Experience with IPSec and SSL VPN configurations, • Solid understanding of TCP/IP, routing, and network security concepts, • Experience with security features such as Threat Prevention, WildFire, URL Filtering, and App-ID, • Ability to troubleshoot complex network and security issues Preferred Qualifications • Palo Alto Networks certifications (PCNSE. NGFE), • Experience with cloud firewalls (AWS, VM-Series), • Knowledge of automation using APIs, Ansible, or Terraform Education & Experience • Bachelor’s degree in Computer Science, Information Technology, or equivalent experience, • Competitive salary and benefits package ($120,000 - $160,000), • Opportunities for professional development and growth., • Collaborative and supportive work environment. Work location • Hybrid work schedule (3 days in office, 2 days remote) - first 90 days are on fully in office

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: Under general supervision, the Field Engineer will commission AV systems at client sites to provide the optimal performance according to the scope and design intent. Responsible for drawing redlines, network coordination, and communication with the project team. What You'll Do • Commission AV systems at client sites by optimizing settings in the equipment to ensure the system is operating as designed according to scope and drawings, documenting any changes via redlines returned to the PM and DE, and completing the project quality checklist., • Work to pre-commission sales in the office., • Communicate status to stakeholders on a regular basis., • Troubleshoot technical issues by tracing signal flow and engaging the appropriate parties to assist in resolving the issue., • Configure AV network and coordinate client network., • Create and modify DSP files for typical systems with an emphasis on AEC optimization for videoconferencing and coordinating control objects with programmer., • Contributes lessons learned feedback to the install, design, and pre-sales engineering teams to constantly improve system designs, product selection, and implementation., • Archive configuration and programming files with appropriate labeling to increase the efficiency and effectiveness of the service team., • Maintain and grow certifications and technical knowledge. Education/ Certifications: • High School Diploma or GED Required, • Associates and up preferred Required Skills/Qualifications:, • 3-5 years' experience in a relevant industry, field installation and/or systems design experience preferred., • Ability to troubleshoot and complex AV and network systems, strong familiar with MTR and Zoom Rooms, • DSP certification from one or more of the following manufacturers: Biamp, QSC, BSS preferred, • Control certification from one or more of the following manufacturers: QSC, Extron, Crestron, • Proficiency in Microsoft Office Preferred Skills/Qualifications:, • Knowledge or familiarity with broadcast or hybrid conference-live event systems, • Able to commission and troubleshoot using only a virtual connection to the system with onsite support, • Achieve Extron AVE Associate, • Audinate Dante Level 3, • Biamp Tesira Server, • Q-Sys Level 2 and Control 201, • Extron Certified Control Professional, • Shure Integrated Systems Level 1., • AVIXA CTS Competencies:, • Self-starter that requires little direct oversight in performing tasks. Good customer Service Skills Work Environment:, • This position will primarily on a jobsite with some office work., • Employee will spend most of the day on their feet moving around the jobsite., • Must be able to occasionally lift at least 40lbs and be able to climb ladders and stairs., • Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Contact Center Engineer to join our national Contact Center & Customer Experience practice. This role is responsible for the design, implementation, and optimization of next-generation Contact Center as a Service (CCaaS) solutions, leveraging platforms from Cisco, Amazon Web Services, Genesys, and Five9, and integrating AI-driven capabilities from Google, Amazon, and Microsoft. You'll collaborate with cross-functional teams, partner ecosystems, and clients across industries to transform traditional contact centers into modern, AI-powered engagement platforms that deliver intelligent, seamless customer experiences. Responsibilities include: • Lead design and deployment of CCaaS and hybrid contact center solutions using Cisco Webex Contact Center, Amazon Connect, Genesys Cloud CX, and Five9., • Architect AI-enhanced customer experiences through conversational AI, speech recognition, and automation tools such as Google Dialogflow, AWS Lex, and Microsoft Copilot frameworks., • Develop and integrate APIs between contact center, CRM, WFO/WFM, analytics, and AI systems., • Collaborate with clients to translate business requirements into scalable, cloud-first architectures., • Drive solution standardization and reusable frameworks to accelerate delivery and improve quality., • Provide Tier 3 engineering support, performance tuning, and troubleshooting across multi-vendor environments., • Serve as a trusted advisor to customers on technology modernization, AI adoption, and omnichannel strategy., • Mentor and support junior engineers through knowledge sharing and best practices documentation. Required Skills and Professional Experience • 5+ years of proven hands-on experience designing, implementing, or supporting modern Contact Center or CCaaS platforms (Cisco, AWS, Genesys, or Five9)., • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional or military experience., • Working knowledge of cloud ecosystems and DevOps principles-including AWS, Azure, or GCP., • Demonstrated experience integrating AI/ML solutions (Dialogflow, Lex, Azure AI, Copilot, etc.) with CCaaS workflows., • Familiarity with serverless development and API-driven architectures (Lambda, Node.js, Python, JavaScript, REST)., • Exposure to CRM and WFO/WFM integrations (Salesforce, ServiceNow, Verint, Calabrio, etc.)., • Understanding of Infrastructure as Code (IaC) tools (CloudFormation, Terraform, or CDK) and automation frameworks., • Strong troubleshooting, diagnostic, and analytical skills in complex multi-platform environments., • Knowledge of Speech Analytics, Generative AI, and intelligent routing in customer experience platforms., • Experience developing custom integrations or microservices supporting CCaaS functionality., • Understanding of identity, access management, and data security within cloud environments (SAML, OAuth, IAM)., • Familiarity with data analytics and reporting pipelines leveraging AI for customer insight. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JH1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: Under general direction, the Senior Configuration and Commissioning Engineer will oversee commissioning of large and complex AV systems at client sites to provide the optimal performance according to the scope and design intent through remote connections and mentoring the implementation team. Responsible for communication and coordination with the project team, advanced equipment configuration, and system troubleshooting. Location - Greater Toronto Area What You'll Do: * Lead the commissioning effort of large and/or complex projects as the technical expert on site or remotely, providing training, support, and ongoing development of other FEs. * Implements and trains other field engineers and install technicians on how to implement system installations and commissioning according to the quality checklist. * Create, manage, and communicate on-site progress and roadblocks by aggregating team reports and passing them forward to PM and/or client regularly. * Support projects remotely, accessing and commission AV systems by utilizing local support personnel * Troubleshoot advanced technical issues by tracing signal flow and engaging the appropriate parties to assist in resolving the issue. * Configure AV network and coordinate client network. * Create and modify DSP files for complex divisible systems with an emphasis on AEC optimization for videoconferencing and coordinating control objects with programmer. * Contributes lessons learned feedback to the install, design, and pre-sales engineering teams to constantly improve system designs, product selection, and implementation. * Archive configuration and programming files with appropriate labeling to increase the efficiency and effectiveness of the service team and adapt previous configurations for new projects to increase efficiency. * Maintain and grow certifications and technical knowledge. What You'll Bring: Required Skills/Qualifications: * Able to concisely, consistently, and appropriately communicate with the project team * Able to manage multiple additional FEs and Install Techs on large sites; maintain overall project implementation status and reporting. * 3+ years' experience troubleshooting complex AV and network systems from conference rooms to hybrid-live event spaces * Extensive familiarity with MTR and Zoom Rooms * Familiarity with broadcast or hybrid conference-live event systems * AVIXA CTS-I * Audinate Dante Level 3 * Biamp Tesira Server and QSC Q-Sys Level 2 * Control certification from one or more of the following manufacturers: QSC, Extron, Crestron Preferred Skills/Qualifications: * Bachelors Degree preferred * Proficient with Microsoft Office 365 * Self-starter and requires little direct oversight to perform tasks * Experience leading teams * Excellent customer service skills * Field installation and/or system design experience * Training small to medium sized groups on technical system operation * AVIXA CTS-D * Shure Integrated Systems and RF certifications * Competencies: * Self-starter that requires little direct oversight in performing tasks. Good customer Service Skills Work Environment: * This position will primarily on a jobsite with some office work. * Employee will spend most of the day on their feet moving around the jobsite. * Must be able to occasionally lift at least 40lbs and be able to climb ladders and stairs. * Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. * Frequent travel required. * Some office, mostly jobsite * Employee may spend most of the day on their feet moving around the jobsite. Must be able to occasionally lift at least 40lbs and be able to climb ladders and stairs. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. * Work may be performed in an active construction site requiring appropriate PPE. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

What success looks like in this role: Key Responsibilities • Define and own the target-state AWS infrastructure architecture and operational standards for production environments, ensuring scalability, resilience, security, and alignment to business objectives., • Act as the technical authority for Linux and Windows OS engineering on AWS, driving platform stability through proactive improvements, advanced troubleshooting, and performance tuning across complex environments., • Establish enterprise-grade Infrastructure as Code (IaC) frameworks, reusable patterns, and governance using Terraform and/or CloudFormation; review and approve infrastructure changes for quality and risk., • Lead security architecture and compliance implementation across IAM strategy, network segmentation, encryption/KMS, centralized logging/auditing, and continuous control validation in partnership with security and risk teams., • Drive performance engineering and cost optimization strategy across AWS workloads, including right-sizing, scaling design, storage optimization, lifecycle policies, and standard optimization playbooks., • Own DR/BCP architecture and readiness, including RTO/RPO definition support, recovery designs, runbooks, testing cadence, and continuous improvements based on lessons learned., • Enable mature CI/CD and deployment practices by integrating infrastructure and platform controls with pipelines (CodePipeline/CodeDeploy and/or Jenkins/GitLab), including guardrails, policy-as-code, and release governance., • Lead major incident and problem management for cloud infrastructure, providing deep technical leadership during outages, ensuring high-quality RCAs, and driving corrective/preventive actions and reliability improvements., • Provide technical leadership across teams: mentor L1-L3 engineers, conduct design reviews, contribute to hiring/upskilling, and promote best practices and standardization., • Maintain high-quality documentation and reference architectures, including standards, blueprints, operational procedures, and knowledge base articles. Skills (Must-haves) • 8+ years of infrastructure engineering/operations experience, with 5+ years delivering and operating AWS production environments at scale., • Expert-level understanding of AWS services and architecture patterns, including EC2, EBS, S3, VPC, IAM, CloudWatch, CloudTrail, load balancing, and scaling strategies., • Deep Linux and Windows engineering expertise in cloud environments (hardening standards, patching strategy, automation, performance tuning, troubleshooting at scale)., • Expert-level IaC capability using Terraform and/or CloudFormation, including reusable frameworks, module design, version control, CI validation, and drift/compliance management., • Advanced AWS networking design expertise: VPC architecture, routing, segmentation, NACL/security posture, VPN/Direct Connect, DNS fundamentals, and traffic management patterns., • Security engineering depth: IAM design patterns, KMS/encryption strategy, audit logging, secure baselines, threat detection integration, and compliance control implementation., • Strong observability and reliability engineering skills: monitoring strategy, alert design, log/metric correlation, SLO/SLA awareness, and operational readiness practices., • Advanced automation/scripting proficiency (Python/Bash/PowerShell), with ability to build operational tooling and integrate automation into pipelines and runbooks., • Ability to influence and communicate effectively with senior stakeholders, including translating complex technical risk/decisions into clear options and recommendations. You will be successful in this role if you have: Qualifications • Bachelor's degree in Computer Science / IT / Engineering (or equivalent practical experience)., • AWS Professional-level certification required: AWS Certified Solutions Architect - Professional and/or AWS Certified DevOps Engineer - Professional (or equivalent expertise) Good to Have / Desirable Skills • Enterprise AWS connectivity and multi-account design: Transit Gateway, Direct Connect, VPC endpoints/PrivateLink, landing zones, cross-account IAM and governance., • Strong AWS Systems Manager expertise (Automation, Patch Manager, Session Manager, Run Command, Inventory, Parameter Store) and standard runbook automation., • Security services experience: GuardDuty, Security Hub, AWS Config, AWS Shield; familiarity with vulnerability management and compliance reporting., • Experience operating regulated environments and implementing policy-as-code / guardrails at scale., • Experience with AWS-managed databases (RDS/Aurora/DynamoDB) including availability, monitoring, backups, and performance troubleshooting., • Strong CI/CD and GitOps maturity, including pipeline guardrails, change governance, and promotion strategies across environments., • FinOps maturity exposure: chargeback/showback inputs, cost governance, savings tracking, and continuous optimization operating model. Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) plan, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! #LI-AC1 This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' ___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. Salary Range$130,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Mechanical Engineer (Data Centers) - Hybrid/Remote This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $150,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? We can offer you the opportunity to work on State-of-the-Art Projects including Hyper Scale Data Centers Competitive Base Salary Competitive Bonus 401K Matching Contribution Benefits Package Comprehensive Benefits Package (Health/Dental/Vision) Accelerated Career Growth & Professional Development Flexible Work Schedule and Paid Time Off Job Details Mechanical Engineer (Data Centers) - Hybrid/Remote We are actively seeking a Mechanical Engineer with expertise in Computational Fluid Dynamics (CFD) modeling to support Data Center systems. The ideal candidate will bring 3-5+ years of CFD analysis experience using Cadence software, along with a strong understanding of data center cooling systems, airflow analysis, and thermal optimization. This role offers the opportunity to work on both interior white space and exterior infrastructure modeling, directly contributing to improved cooling performance, energy efficiency, and overall environmental behavior of data center facilities. Requirements: Bachelor’s Degree in Mechanical Engineering or a related field. 3 - 5+ years of Mechanical Systems Design experience for Data Center or Healthcare Projects. Experience in Computational Fluid Dynamics (CFD) Modeling for Data Center Systems. Experience using CFD tools, preferably Cadence. Experience with Data Center cooling technologies including IT equipment, emergency generators, air-cooled/water cooled chillers, cooling distribution units, cooling towers, adiabatic coolers, CRAH/CRAC units, liquid cooling systems, and containment solutions. Strong understanding of thermodynamics and fluid mechanics as applied to HVAC and Data Center systems. Proficiency in interpreting engineering drawings, equipment specifications, and facility layouts. Ability to manage multiple CFD modeling tasks with strong attention to detail and accuracy. Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. Knowledge of industry standards relevant to Data Center design. Preferred, Not Required Engineer-in-Training (EIT) or Professional Engineer (PE) License – Preferred, Not Required Experience supporting design optimization for high-density or mission-critical Data Center environments. Duties: Develop CFD Models (Air and Liquid) of Data Center white space and outdoor infrastructure. Simulate airflow, heat transfer, and pressure distributions to evaluate cooling performance, containment strategies, and equipment layouts. Analyze interior and exterior Data Center conditions to optimize airflow, thermal behavior, and environmental performance. Evaluate exterior environmental conditions including wind loading, heat island effects, and outdoor air intake behavior. Interpret simulation results to identify risks, inefficiencies, and opportunities for design improvement. Collaborate closely with the Architectural/Electrical/Mechanical design teams to support Data Center system design decisions. Prepare technical reports and presentations summarizing modeling assumptions, methodologies, results, and design recommendations. Support design optimization for cooling systems, containment solutions, and equipment placement. Maintain and refine CFD simulation libraries, including equipment models, boundary conditions, and environmental templates. Ensure CFD modeling and design recommendations comply with ASHRAE TC 9.9 and internal Data Center Design standards. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. 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As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact. Join Ciena's Non-Coherent Datacenter Interconnects Team as a Product Engineer! Are you ready to shape the future of high-quality, high-volume optical products? Ciena's Non-Coherent Datacenter Interconnects team is seeking an experienced Product Engineer to drive innovation and excellence in delivering complex optical and electrical interconnect products (Vesta and Nitro product portfolio). Be part of a dynamic environment where your expertise will make a tangible impact from design through prototyping and into manufacturing. This is an onsite role in New Jersey. How You Will Contribute: As a Product Engineer, you will focus on developing and optimizing high-speed, cost-effective optical solutions tailored for hyperscale data centers and enterprise networks. Collaborate with R&D, New Product Introduction (NPI), and Operations to ensure the successful delivery of non-coherent optical products that meet the unique demands of modern datacenter environments, including high capacity, low latency, and energy efficiency. Utilize your skills to rollout and manage products and their lifecycles, oversee assembly & test requirements compliance and support product reliability qualification. Key Responsibilities: • Support product development and optimization for manufacturing optical and electrical interconnect products., • Collaborate with R&D and Operations teams to define manufacturing requirements and assembly specifications., • Develop and document processes, tools, and workflows to enable seamless product transitions into production., • Drive process automation and create automation tools to enhance efficiency., • Transition designs into Contract Manufacturers (CMs) and facilitate on-site support for training, quality, and delivery., • Work with diverse global teams and interact with CMs and vendors to ensure alignment on processes, quality, and delivery schedules., • Own product bill-of-materials (BOM) and their lifecycle changes The Must Haves: • Bachelor's degree in Optical, Electrical, Mechanical, Production Engineering, or equivalent., • Minimum 5 years of experience in optical/electronics manufacturing or product engineering., • Proven track record of launching complex optical/electronic products to market., • Knowledge of fiber optic transmission and associated testing methodologies., • Experience owning product BOMs thru product lifecycle management software (Agile) a must, • Ability to create and manage automated processes, automation tools, and data analysis tools., • Hands-on experience with fiber optic assembly, handling, and splicing., • Strong problem-solving skills and effective written and oral communication abilities., • Capacity to collaborate with cross-functional teams and CMs globally across time zones. Nice to Haves: • Advanced degree in Optical/Electrical/Mechanical/Production Engineering or equivalent., • Experience with specialty and ribbon fiber splicing., • Prior experience debugging complex optical assemblies., • Familiarity with high-pressure environments and remote issue resolution., • Strong organizational and project management skills., • Experience working with multi-functional, multi-locational teams. Pay Range: The annual pay range for this position is $110, 400 - $176, 400 Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence. Not ready to apply? Join our___to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is anEqual Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Summary: Enica Engineering, a division of Willdan Group Inc, provides services built on its industry-leading controls expertise and unique, hands-on project delivery. We offer services in project development, building automation engineering, control system optimization, energy metering, and field engineering services. Our clients include major medical campuses, universities, hospitals, and pharmaceutical and industrial firms in the greater New York area. Enica Engineering is seeking a Field Engineer who is interested in: • Building Energy Efficiency & Sustainability, • Building Automation Controls & Controls Programming, • HVAC Engineering Design, • Central Utility Plant Automation, • General understanding of HVAC systems, building management systems and other energy using systems and system interactions., • Ability to independently conduct site visits and perform energy audits, collect data, and perform engineering analysis and energy savings calculations to produce tangible deliverables., • Perform various activities supporting the design of HVAC systems., • Strong organizational skills, verbal and written communication skills. Willdan Energy Solutions participates in E-Verify.

We are seeking a handson to design, build, and support productiongrade data products and applications that empower operational, engineering, and business teams to make faster, more reliable decisions. • Design, build, and maintain endtoend Palantir Foundry solutions, including data ingestion, transformation, modeling, and publishing, • Develop and evolve Foundry Ontology models (core objects, relationships, and actions) to ensure consistent, reusable, and discoverable data, • Build Pythonbased pipelines and transforms with incremental processing, validation, data quality checks, and performance optimization, • Replace spreadsheetdriven and manual reporting processes with reliable, auditable digital tools, • Integrate Foundry with internal and external systems, including ERP, project controls, asset management, ticketing systems, and custom APIs, • Implement robust error handling, retries, logging, monitoring, and audit trails, • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.