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AGM Tech Solutions – in partnership with our highly reputable client – is excited to announce an opportunity for a Senior UX Designer to join their forward-thinking and innovative team! Hybrid | Parsippany, NJ - NYC - GA Position: Sr. UX Designer At this company, UX isn’t just design—it’s a movement. It’s about creating a community that shares ideas, research, and design excellence to make work simpler, smarter, and more meaningful. You’ll be part of a dynamic, multi-disciplinary UX team of Designers, Researchers, and Writers with one mission: • To deeply understand users and craft experiences that transform how people work., • To simplify complex processes through thoughtful, innovative design., • Think big: Create compelling, intuitive, and delightful user experiences., • Collaborate: Partner with product and tech teams to deliver seamless, scalable design solutions., • Lead and inspire: Bring simplicity to complex enterprise design challenges across all devices., • Innovate: Design AI-driven, chat-based, and data-rich interfaces that feel natural and intuitive., • Advocate: Be the voice of the user, championing usability and accessibility at every stage., • 5+ years of UX and interaction design experience (corporate or agency)., • Proven experience designing AI-driven and conversational interfaces., • Strong background in data visualization and chart design., • Deep understanding of user-centered design, mobile usability, and accessibility standards., • Strong communication, leadership, and collaboration skills., • A creative mindset—able to think strategically while executing pixel-perfect solutions., • Work that inspires creativity and purpose., • A collaborative culture built on trust and innovation. AGM Tech Solutions is a Women- and Minority-Owned IT consulting firm dedicated to delivering high-impact solutions and building long-term partnerships nationwide. We pride ourselves on integrity, trust, and results—connecting exceptional talent with exceptional opportunities.

Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

What You’ll Do** - Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation - Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks - Apply structure: follow taxonomies, be

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Title: AWS Connect Developer Location : Remote Compensation : 50-60$/Hr on C2C/1099 Work Authorization: H1B, GC, USC Overview We are seeking a highly skilled AWS Connect Developer with expertise in Node.js, Amazon Connect, and systems integration. The role focuses on designing and developing customer engagement workflows, integrating Amazon Connect with CRMs (including Zoho), ticketing platforms, and other enterprise applications. The ideal candidate will bring strong technical experience and a problem-solving mindset to build scalable, intelligent, and secure contact center solutions. Key Responsibilities · Design, configure, and optimize Amazon Connect contact flows for voice, chat, SMS, and omni-channel interactions. · Develop Node.js-based Lambda functions and backend services to extend Amazon Connect functionality. · Build and maintain integrations between Amazon Connectand CRMs, including Zoho CRM, Salesforce, ServiceNow, and Zendesk. · Enable bi-directional data flows (customer data sync, ticket creation, case management) between Connect and Zoho/other platforms. · Implement real-time event streaming and reporting pipelines using AWS services (Kinesis, DynamoDB, Athena, S3). · Leverage AWS AI/ML services (Lex, Polly, Transcribe, Comprehend) to enhance IVR/chatbot automation. · Collaborate with business teams to automate workflows (lead management, support tickets, call recordings, customer notes) in Zoho and other third-party tools. · Ensure data security, access controls, and compliance through IAM roles, encryption, and monitoring. · Troubleshoot issues, optimize integrations, and deliver continuous improvements. Required Qualifications · 5–8 years of software development experience, including 2+ years in Amazon Connect development. · Strong Node.js development skills (backend services, APIs, integrations). · Hands-on experience with Amazon Connect: contact flows, queues, routing profiles, and reporting. · Proven experience integrating Amazon Connect with Zoho CRM (or other CRMs like Salesforce/ServiceNow). · Exposure to CI/CD pipelines (GitHub Actions, GitLab, AWS CodePipeline, or equivalent). · Familiarity with REST/GraphQL APIs, webhooks, and OAuth-based integrations. · Solid understanding of IAM security, role-based access, and compliance requirements. · Expertise in AWS services: Lambda, API Gateway, Step Functions, DynamoDB, S3, CloudWatch. Preferred Skills · Experience with Amazon Lex, Polly, and Transcribe for conversational AI. · Knowledge of Zoho ecosystem (CRM, Desk, Campaigns, Zoho PhoneBridge API). · Background in contact center technologies such as Avaya, Genesys, or Twilio

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job,

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli