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GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses. We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy[1]focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Responsibilities: Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Requirements: 10+ years of relevant experience and a Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields. Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Ideal Candidate Characteristics: PhD degree in Computer Science, AI, ML, Engineering, Data Science, or related field 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc. 5+ years of experience with Python or other programming languages commonly used in AI/ML development. Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Looking for a lifetime career? Apply today! Job Description The Materials Development Laboratory (MDL) seeks a candidate at the Principal Materials Engineer level to fill the laboratory engineer role within the Materials Fabrication Facility (MFF). Direct interaction with stakeholders during work pl

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration.Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and t

ENTRUST Solutions Group, a company of Leidos, is seeking a talented and driven Principal Control Systems Engineer to join our growing team of experts in the electric power generation sector. Join our dedicated team as a Principal Control Systems Engineer, where you will lead complex engineering init

This role requires deep expertise in DoW network/communications CONOPS and mission needs, software-defined RF systems, AI/ML-enabled wireless networks, adaptive networking, and integrated communications and sensing. Serve as principal technical authority for wireless communications, networking, and

Bachelor’s degree in electrical engineering, power systems, or a related engineering discipline. Principal Power Systems Engineer – Grid Integration & Power Electronics. This role will lead complex grid interconnection, transmission planning, renewable and battery-storage integration, inverter-b

Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities • Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform., • Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon., • Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components., • Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation., • Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams., • Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale., • Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills • Expert level in Python and Java with strong software engineering fundamentals., • Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents., • Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes)., • Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field., • Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making, • Demonstrable history of leading and sustaining build out of critical cross-team systems, • Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring., • Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote$195,000 - $217,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $195,000-$217 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Shield AI is seeking a Principal Fuel Systems Engineer to lead architecture, development, and validation of fuel systems for advanced AI-powered aircraft.

Job Description About NECI NECI is the leading Automation solutions provider transforming manufacturing, lab operations, process development and process control across a range of process industries in Northeast. NECI relentlessly seeks to drive the outcomes that ‘change the game’ for our clients and is seeking team members to join in our mission. Here’s What You’ll Get • Highly competitive Medical, Dental, and Vision Insurance, • Flexible Spending or Health Savings Accounts, • Unlimited Vacation Time, • 10 Paid Holidays, • 12 Paid Weeks Birthing Parent Leave, • Pet Insurance, • Retirement Savings: 401(k) and Employee Stock Ownership Plan, • Employee Referral Bonus, • Professional Development Reimbursement, • Company Paid STD, LTD, and Life Insurance Position Summary NECI’s Asset Reliability business delivers industry-leading instrumentation, calibration, and flow measurement services to industrial sites across New England and New York. We partner closely with our customers to solve complex measurement challenges and deliver dependable, high-quality technical solutions. As an Instrumentation and Flow Specialist on the NECI Asset Reliability team, you are a hands-on technical leader in field instrumentation and flow calibration. Working independently or as part of a team, you will execute site services with precision, accuracy, and efficiency. Beyond strong technical expertise, we are looking for professionals who bring exceptional attention to detail, disciplined reporting, and an uncompromising commitment to quality that our customers can rely on. Principal Duties and Responsibilities • Execute field service work independently or as part of a team, as required, • Perform advanced maintenance, troubleshooting, and repair of field instrumentation, • Calibrate, configure, and troubleshoot flow instrumentation, including Coriolis, magnetic, vortex, and ultrasonic flow meters, • Perform in-line and bench verification of flow measurement devices and document results to applicable standards, • Collect, compile, analyze, and accurately record data gathered during calibration, • Identify out-of-tolerance conditions and perform corrective action through adjustment, component replacement, correction factors, and related methods, • Produce detailed, accurate site reports, calibration reports, and certificates, • Collaborate effectively with technicians, schedulers, account managers, and customers, • Lead service technicians during customer engagements, • Support proposal development, • Mentor and train technicians in calibration and flow measurement concepts and procedures, • Manage and maintain test equipment to ensure ongoing measurement accuracy, • Responsible for providing uncompromising quality to all work processes in designated area of responsibility. Has the authority to stop those work processes at any time it is believed that quality is being compromised, • Performs other duties as assigned; responsibilities and activities may change or be assigned at any time with or without notice., • Physical demands: Lifting up to 50 lbs. without assistance., • Travel: 90% travel within the New England area Qualifications Minimum qualifications: • Minimum High School diploma or equivalent., • Minimum 10 years of instrumentation and calibration experience, • Demonstrated hands-on experience calibrating, configuring, and troubleshooting flow instrumentation across Coriolis, magnetic, vortex, and ultrasonic technologies, • Working knowledge of flow measurement principles, installation effects, and applicable calibration standards, • Experience in entering information into a calibration management system., • Knowledge of or experience with ISO 17025., • Must be able to perform advanced math and algebra functions., • Must possess excellent written and oral communication skills, • Self-starter, honest, responsible, timely, detail oriented and self-sufficient., • Basic computer skills., • Proficient in use of MS Word and Excel., • Must have very good interpersonal and customer service skills., • Ability to get along well with others., • Strong attention to details., • Appropriate and professional demeanor and appearance. Preferred qualifications: • ISA Certification (Level 1&2)., • Military experience or certification in electronics., • Manufacturer training or certification on flow products (e.g., Micro Motion, Rosemount, Endress+Hauser, KROHNE) Competencies • In-depth experience testing, troubleshooting, and repairing pressure, temperature, analytical, liquid flow, mass flow, level, multivariable, humidity, weight, and speed instruments, • Experience using pressure calibrators (e.g. BEAMEX multi-calibrator / Fluke 721), multimeters, resistance simulators, conductivity solutions, pH buffers, tachometers, and temperature standards (e.g. Fluke 1523)., • Prefer previous experience working in Pharma, Power, or Utilities., • Proficient in viewing, programming, and adjusting a variety of instruments via HART, Foundation Fieldbus, and ProLink communication., • Experience with 4-20 mA current loops, • Experience in various BUS communication protocols, • Ability to perform tasks by referencing standard operating procedures (SOP’s), • Ability to troubleshoot, program, and adjust instruments by referencing instrument manuals, • In depth experience and understanding of P&ID’s, and electrical drawings Flow Calibration Services • Calibration, configuration, and troubleshooting of Coriolis mass flow meters, including zero verification, density calibration, and meter health diagnostics, • Calibration, configuration, and troubleshooting of magnetic (Mag) flow meters, including empty-pipe detection, electrode diagnostics, and grounding verification, • Calibration, configuration, and troubleshooting of vortex flow meters, including low-flow cutoff, K-factor verification, and Reynolds-number considerations, • Calibration, configuration, and troubleshooting of ultrasonic flow meters (clamp-on and in-line), including transducer setup, path configuration, and signal-strength verification, • In-situ and bench verification of flow instrumentation against reference standards, with documentation aligned to ISO 17025 expectations, • Configuration and diagnosis of flow transmitters via ProLink,/ HART communications, including application of correction factors based on process conditions Compensation: This position offers a base salary range of $75,000 to $85,000, based on experience and qualifications. The role is also eligible for a variable compensation plan. The posted salary range represents a good faith estimate of the expected compensation for this role at the time of posting. Final compensation will be determined based on factors such as relevant experience, skills, qualifications, internal equity, and business needs. Must be currently authorized to work in the United States. Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of NECI. NECI will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Please Note: NECI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

Job Description About NECI NECI is an Emerson Impact Partner and provider of industrial automation and digital transformation solutions and services. We solve process, automation, and data integration challenges in therapeutics, energy, and manufacturing with a broad portfolio of product, project, and service capabilities. Our experienced team has a deep knowledge of people, process and systems and relentlessly seeks to drive the outcomes that empower our partners to advance the world. Join in our mission! Role Summary We are looking for an Application Engineer to work closely to support our Account Executives, Sales Executives, and Order Management Specialists in pursuit of sales opportunities. As an Application Engineer, you will collaborate with the customer to provide guidance regarding product orders and proposal requirements, while assuring high levels of customer service and customer satisfaction in accordance with our Core Values. Duties and Responsibilities • Produce and provide proposals for customer solutions by listening to and evaluating our customer’s requirements and selecting and proposing innovative control solutions according to our customer’s and principal’s standards and practices., • Grow our valve automation business to meet annual company sales goals targets in our coverage area by promoting and fostering NECI’s reputation as a total valve supplier for ball valves, butterfly valves, valve automation, and solutions. Includes participating in training, developing a sufficient knowledge base of all product lines our company represents, being able to readily access all necessary information to develop and price valve automation solutions, and demonstrating a satisfactory competency level to meet the expected standards of performance necessary to deliver valve automation solutions to our customer base in a timely manner., • Achieve desired sales results for annual new product initiatives by participating in NECI and principal new product launches, probing and uncovering customer needs and pain points, and applying our new technology and product solution offerings., • Provide support & technical services to customers by assisting users with start-up, checkout, and calibration, and resolving product and/or service problems based on our principal’s standards and practices and NECI internal procedures., • Additionally, being responsible and accountable for following through on all customer orders, returns, credits, and invoicing issues etc. to a satisfactory resolution in accordance with Think Customer principals., • Support on time delivery to customer by assessing customers’ needs, determining the factories’ abilities to meet those needs, and negotiating mutually agreeable due dates with the customer. As appropriate, to also assist in expediting products and services with our suppliers and principals to meet or exceed committed customer expectations. This includes anticipating or recognizing situations or circumstances when total customer satisfaction is at risk and taking ownership of resolution., • Identify new sales opportunities and ensure consistent service by maintaining accurate customer information data utilizing IFS and identifying and qualifying new opportunities with our customers, and fully supporting our Account Managers’ plans and strategies for account growth and penetration., • Understand and actively participate in our quality management system by adopting our quality policy and all appropriate elements of our quality management system, dedicating your efforts to the reduction, elimination, and prevention of quality deficiencies, and initiating proper actions to prevent the occurrence of nonconformities related to our products, services, processes, and quality system. This also includes your timely participation as required in Corrective and Preventive Action Requests, Quality Circles/Teams, and collaboration with other Company Departments on continuous improvement initiatives., • Participate in the company’s safety and health program by understanding and following the established policies and procedures of our Safety and Health Manual, notifying appropriate Supervisors/Managers of any observed workplace safety and health compliance issues, and implementing appropriate recommendations to help improve our Company’s overall Safety and Health Program., • Maintain and develop professional and technical competence by attending periodic factory or principal-based training sessions, appropriate web-based training classes/seminars, periodic “hands-on” training, departmental meetings, as well as periodic professional development workshops or classes., • Inform supervisor/manager and appropriate NECI personnel of market conditions providing timely reporting of key customer and competitor activities within the territory. Qualifications • Bachelor’s degree in engineering: Mechanical, Industrial, or Chemical, • 1-5 years of relevant work experience, • Competitive Spirit: we are seeking someone self-motivated and driven by the pursuit and satisfaction in exceeding goals and delivering growth to the business., • Proven experience in customer-facing roles (does not need to be technical sales experience) and a passion for people and engagement with an audience. Benefits • Competitive Medical, Dental & Vison Insurance, • Flexible Spending or Health Savings Accounts, • Unlimited Vacation Time Policy, • 10 Paid Holidays, • 12 Paid Weeks Birthing Parent Leave, • Retirement Savings: 401(k) and Employee Stock Ownership Plan, • Pet Insurance, • Employee Referral Bonus, • Tuition Reimbursement, • Company Paid STD, LTD, and Life Insurance Compensation: This position offers a base salary range of $75,000 to $95,000, based on experience and qualifications. The role is also eligible for a variable compensation plan. The posted salary range represents a good faith estimate of the expected compensation for this role at the time of posting. Final compensation will be determined based on factors such as relevant experience, skills, qualifications, internal equity, and business needs. On-Site Requirements This position requires a full on-site presence 5 days per week during the first 4–6 months. Following that period, the role will be on-site four days per week, including Monday, Wednesday, and Thursday, with the fourth on-site day alternating between Tuesday or Friday depending on business needs. Must be currently authorized to work in the United States. Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of Stellix and its affiliates. Stellix and its affiliates will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Please Note: Stellix and its affiliates is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

Job Description Job Title: Risk Assessor II Location: Phoenix, AZ, Merritt Island, FL, Overland Park, KS, Billings, MT, Ballston Lake, NY Description/Job Summary POSITION DESCRIPTION HGL is seeking a Risk Assessor II to support environmental projects, including hazardous, toxic, and radioactive waste; PFAS; mining; and military munitions response program projects nationwide. The Risk Assessor II will prepare human health risk assessments and/or ecological risk assessments in accordance with CERCLA, RCRA, and applicable state guidance, with support from HGL’s risk assessment team, including senior- and principal-level staff. The ideal candidate can lead both human health and ecological risk assessments; candidates with strong experience in either discipline will also be considered. This role is well suited for a self-directed individual who enjoys integrating complex environmental data, technical analysis, and regulatory requirements to support sound project and remedial decisions. HGL is seeking to fill one hybrid position based out of one of the following HGL office locations: Phoenix, AZ; Merritt Island, FL; Overland Park, KS; Billings, MT; or Ballston Lake, NY. Responsibilities/Duties WHAT YOU'LL BE DOING • Manage and analyze large environmental datasets., • Prepare tables, figures, and other data exhibits., • Author risk assessments, risk assessment work plans, and other technical deliverables., • Review and interpret environmental and toxicological studies and reports., • Support remedial strategy design, including development of risk-based cleanup levels., • Conduct statistical analyses, including statistical comparisons of background data to site data., • Serve as the project risk assessor in project meetings and technical discussions with clients, regulatory agencies, and stakeholders., • Lead and provide technical direction to junior-level staff. Minimum Requirements WHAT YOU NEED TO BE SUCCESSFUL • Bachelor’s degree in toxicology, environmental science, public health, engineering, or a related health or environmental science discipline., • At least 6 years of work experience in an environmental consulting or regulatory environment on DoD or EPA projects, with a focus on site investigation and human health or ecological risk assessment; or an equivalent combination of education and experience., • Experience implementing EPA’s Risk Assessment Guidance for Superfund and/or EPA’s Ecological Risk Assessment Guidance for Superfund., • Working knowledge of relevant federal regulations, especially CERCLA and RCRA, and the ability to integrate federal requirements with varying state regulations., • Ability to present technical information effectively to scientific, regulatory, and public audiences., • Ability to succeed in a fast-paced consulting environment, manage multiple project assignments, meet strict deadlines, travel to client facilities as needed, and work independently as a self-starter., • Demonstrated ability to learn and adopt new technologies and digital tools to improve project delivery and operational efficiency. Desired Qualifications WHAT YOU NEED TO STAND OUT – Preferred, not required • Advanced degree (MS, MPH, or PhD) in toxicology, environmental science, public health, engineering, or a related health or environmental science discipline., • Experience completing statistical comparisons of site data to background data and geochemical evaluations to distinguish site-related contaminants from background constituents., • Experience in technical areas beyond risk assessment—such as contaminant fate and transport, analytical chemistry, characterization of the nature and extent of contamination, or development of remediation strategies—to support integration across project teams., • Experience designing and leading baseline ecological risk assessments that include collection of site-specific data, such as biota tissue, toxicity testing, bioaccumulation studies, or habitat and/or species surveys., • Experience in blood lead modeling to support human health risk assessments., • Familiarity with environmental databases, primarily LOCUS, and statistical software., • Experience using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude, or similar) to improve technical writing, data analysis, research, visualization, or project delivery efficiency. Physical & Environmental Requirements PHYSICAL & COGNITIVE REQUIREMENTS • Prolonged sitting up to 70% of the time., • Viewing computer screen for extended periods., • Analyzing and synthesizing data., • Managing competing deadlines and shifting priorities. WORK ENVIRONMENT REQUIREMENTS • Office work environment. This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee. Other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice. Details Work Schedule: HGL office work is dictated by a 5-day work week; however, fieldwork schedules will deviate based on job requirements and may require longer hours and weekends. Office Type: Hybrid (3 days in office) Travel: Minimal but as needed to client facilities; percentage varies by project assignment. A favorable pre-hire drug test is required. All positions are subject to a pre-hire education and driving record verification. MORE ABOUT HGL AND THE OPPORTUNITY At HGL, we share a drive and vision to restore natural resources and provide ongoing stewardship of our environment to benefit present and future generations. We believe that we can make a difference in improving the world we live in through collaboration, teamwork, and a positive work environment. This unites and empowers us to strive for excellence in all our endeavors. HGL - WHO WE ARE The exceptional quality of our people is key to our strength. We value our employees as individuals and as important members of our team. We offer a work environment that is flexible, inclusive, and dedicated to creating a sustainable future. By cultivating a culture of innovation, we’re able to adapt and augment our services to solve complex environmental and natural resources challenges. Projects at HGL primarily span the United States and its territories, tackling problems associated with emerging contaminants (like PFAS), radiological contamination, and military munitions, along with chemical contamination in groundwater, surface water, sediments, and soil. With over 550 employees, HGL is large enough to execute high-profile projects, but small enough to develop personal working environments with our talented team members. By joining HGL, you will be working toward restoring the environment and protecting our future. HGL - WE INVEST IN YOU It’s not just a job, it’s your career. HGL provides career growth opportunities via mentoring, training, education, and support for your certifications and licenses. Achieve your career goals and help HGL achieve its mission of restoring the environment to beneficial use for our clients and communities. We are an Equal Opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, protected veteran status, or other protected category. Some positions may require U.S. citizenship. Applicants who wish to request a reasonable accommodation during the recruitment process should contact Human Resources directly at 703-478-5186. EEO notices: US Equal Opportunity Employment Poster, US Equal Opportunity Supplemental Poster, Know Your Rights, and Pay Transparency Notice. A full list of benefits is available at www.hgl.com/careers/. Digital & AI Proficiency: HGL encourages the responsible use of approved AI-enabled and digital technologies to improve productivity, technical quality, decision-making, and project delivery. Candidates who demonstrate curiosity, adaptability, and experience leveraging emerging technologies are highly valued. The annual salary for this position ranges from $83,895.00 - $125,843.00.

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (AI Foundations: Benchmarking, Evaluation, and Explainability) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (AI Foundations, VLM Customization) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (LLM Gateway, FM Hosting) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Sunnyview Hospital Weekend Coverage As a member of the Patient Care Centered Team, the Information Associate provides clerical, communication, reception, supply management and other supportive services for the Patient Care Center to ensure high quality services to patients, family members and other hospital staff. The Information Associate will be available to meet the needs of all Patient Care Centers as needed. Education Requirements: High School Diploma required. AAS preferred. Experience Requirements: • Minimum of two years' work experience in a health related area. Exceptional interpersonal skills Good organizational and time management skills Knowledge of medical terminology Knowledge of various health insurances Principal Responsibilities: • Responsible for maintaining the patients' medical record: Accurate identification of all patient forms and correct organization of medical records, • Acts as a receptionist for the unit - Answers, screens and routes telephone calls correctly, assists patients', families and the public, answers nurse/patient intercom system and relays information to responsible person, contacts patients' family or doctor as directed, ascertains identity of all persons, faxes medical information to physicians and Insurance carriers as requested, • General Secretarial tasks, • Support of unit functions Pay Range: $16.20 - $20.75 Pay is based on experience, skills, and education. Exempt positions under the Fair Labor Standards Act (FLSA) will be paid within the base salary equivalent of the stated hourly rates. The pay range may also vary within the stated range based on location. Our Commitment Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.

Employment Type: Part time Shift: Evening Shift Does your current facility put residents before anything else? At Schuyler Ridge, that is our philosophy! By focusing upon capabilities rather than limitations, Schuyler Ridge enhances quality of life and accommodates a remarkable degree of individual preferences. And Schuyler Ridge brings a similar philosophy to the support of our colleagues! Come see the difference you can make by becoming a part of the Schuyler Ridge team! Experience Requirements: • Experience in service delivery in the health care, business or domestic field is preferred., • Must be able to read, write and speak English; High School Diploma or equivalent life-experience preferred., • Must be a licensed Certified Nursing Assistant in accordance with New York State., • Excellent communication and interpersonal skills and a sincere desire to serve others., • Must be able to related information concerning a resident's condition., • Must have patience, cheerful disposition and enthusiasm, as well as the willingness to handle difficult residents., • Must possess the ability to work professional with other staff, residents, family members, and outside agencies/visitors. Principal Responsibilities: Maintain standards of Nursing Care; performs selected resident care as directed by the RN or LPN while maintaining the dignity of the resident and in accordance with policies, procedures, and regulations. Follow work assignments, and/or work schedules in completing and performing assigned tasks. Create and maintain an atmosphere of warmth, personal interest and positive emphasis, as well as a calm environment through the unit and shift. Provide Resident Care; • Assists resident with hygiene needs (baths, mouth care, hair care, removes facial hair-shaving, nail care, back care)., • Assists with feeding of those residents able to chew and swallow without difficulty., • Employs special oral feeding techniques for residents with special needs/difficulties., • Measures intake and output accurately and documents on worksheet and graphic sheet., • Check and report bowel movements and character of stools as instructed., • Performs routine colostomy care., • Answer resident calls promptly., • Ensure that residents who are unable to call for help are checked frequently., • Weighs resident using upright, chair and bed scale., • Measure and record temperatures, pulse, and respirations, as instructed., • Maintains safety measures., • Transfers or weighs residents using appropriate lift., • Assists residents in use of bathroom, shower urinal, bedpan and commode for residents., • Keep residents dry (i.e. change gown, clothing, linen, etc. when it becomes wet or soiled)., • Change bed linens, make beds, provide extra covers as requested. Keep linens tight to avoid wrinkles from forming under the resident., • Ambulates residents, including those using canes and walkers, as instructed., • Assist in transporting residents to/from appointments, activity and social programs, etc., • Position bedfast residents in correct and comfortable position, assist with turning residents, and assist with lifting, turning, moving, positioning, and transporting residents into and out of beds, chairs, bathtubs, wheelchairs, lifts, etc., • Performs skin assessment and notifies Charge Nurse of any abnormalities in skin integrity., • Measures and documents vital signs and weights. Report any variation in vital signs and weights. Report any variation in vital signs to Charge Nurse., • Apply cold packs and warm compresses., • Upholds residents Bill of Rights., • Documents resident-related tasks in appropriate records., • Assists with post mortem care and discharge of resident transfer., • Assists with post mortem care and caring for personal belongings of the deceased. Attend and participate in scheduled training, in-services, and educational classes a required. Maintain confidentiality of all resident care information. Other duties as assigned. Pay Range:$17.55 - $22.93 Pay is based on experience, skills, and education. Exempt positions under the Fair Labor Standards Act (FLSA) will be paid within the base salary equivalent of the stated hourly rates. The pay range may also vary within the stated range based on location. Our Commitment Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.

Principal CSR Analyst Job Duties: Provide leadership and input in building the long-term business model and offering set Run competitive analysis to help define a build / buy / rent strategy for obtaining

The District is seeking culturally proficient individuals who actively foster an engaging environment where students can develop confidence in their own success consistent with the Profile of a Shenendehowa Employee (). Performs all other duties assigned by the department manager/building principal.

Work with Environmental Compliance Program Managers and Principal Compliance Specialists to expand TRC's environmental compliance business through client engagement and hiring full or part-time environmental monitors as project needs dictate. They will support development, implementation, maintenanc

Job DescriptionTeam Description: Kitware’s computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. About the Projects: At Kitware, you will collaborate directly with customers and work with researchers to apply state-of-the-art AI approaches to dynamic, real-world problems. In this role, you will lead projects focused on national security, making a tangible difference in protecting our country on a daily basis. You may also participate in live field tests. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs a unique open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build. In This Position You Will: • Own the Project Lifecycle: Provide comprehensive project management for artificial intelligence and computer vision projects tailored for U.S. government and defense customers., • Partner with Research Pioneers: Work hand-in-hand with a Principal Investigator (PI) to translate cutting-edge AI research into executable project roadmaps that meet and exceed customer expectations., • Lead Cross-Functional Teams: Guide a talented team of researchers and developers to deliver complex technical milestones on time, within scope, and on budget., • Drive Customer Engagement: Manage technical communication with government stakeholders, steering the preparation of high-impact status reports, technical briefings, and progress reviews., • Fuel Growth: Participate actively in business development, contributing technical execution strategies to proposal writing, pitch presentations, and new customer capture.Required Qualifications:, • Education: Bachelor's or Master's degree in a STEM field (Computer Science, Computer Engineering, Math, or a related technical discipline preferred)., • Project Management Experience: 5+ years of technical project management experience, with a proven track record of managing U.S. Government contracts (DARPA, IARPA, DoD, or IC preferred)., • Technical Literacy: A strong understanding of machine learning concepts (model selection, training, validation, testing, and deployment) and hands-on programming experience in Python or C++ to effectively interface with engineering teams., • Proposal Crafting: Direct experience writing and contributing to successful government technical proposals., • Clearance & Citizenship: Active TS or TS/SCI security clearance (or a recent TS eligible for immediate reactivation). Due to contractual requirements, only U.S. citizens will be considered for this position., • Location: Full-time, on-site work at Kitware’s Clifton Park, NY, headquarters.Preferred Qualifications:, • Experience specifically managing computer vision or advanced deep learning projects., • Hands-on experience training, fine-tuning, or deploying AI models., • Familiarity with open-source software development practices and communities., • Project Management Professional (PMP) certification. About Clifton Park, NY: Located just north of New York’s capital city, in one of the fastest growing counties in the state, Clifton Park is a vibrant suburban community. Known for its parks and recreational facilities, Clifton Park is close to Albany, Schenectady, Saratoga, and Troy, and within about 3 hours of NYC, Boston, and Montreal. Kitware maintains a beautiful 42,000 sq. ft. office space in the heart of Clifton Park, with conference facilities, large gathering areas, and an expansive third-floor outdoor patio. Click HERE for a brief video about what it’s like to live and work in New York’s Capital Region. Additional Information: Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. For more information on our benefit offerings please visit: https://www.kitware.com/careers/. Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property. Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees. If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in a related technical, engineering or science field and a minimum of 9 years of relevant experience; or Masters degree from an accredited college or university in a related technical, engineering o

Innovation-focused Development team is seeking a Principal Electrical Engineer to design, develop critical electronic product and systems keeping our world safe!. We are seeking a Principal Engineer to design and develop analog, digital, and RF circuits and systems that meet the needs of our custome

The Principal Mechanical Engineer will influence product architecture and design decisions, provide technical guidance to other engineers, and work across engineering, manufacturing, quality, purchasing, and other functions to drive successful products from concept through production. The Principal