ONLY W2 *ONLY W2 ONLY W2
USC/ EAD
NO SPONSORSHIP
Senior AI/ML Engineer – Agentic AI (AWS)
Location: Hybrid(3days in Charlotte NC)
Employment Type: Contract (W2 Only)
Job Summary
We are seeking a highly skilled Senior AI/ML Engineer with expertise in Agentic AI, Generative AI, Large Language Models (LLMs), and AWS Cloud to join our team on an onsite W2 contract. The ideal candidate will have 10+ years of overall IT experience, including 4–5+ years of hands-on experience in AI/ML and Generative AI, with proven expertise designing, developing, and deploying enterprise-grade AI solutions on AWS.
Key Responsibilities
· Design, develop, and deploy enterprise-scale Agentic AI and Generative AI solutions.
· Build autonomous AI agents capable of reasoning, planning, memory management, and tool invocation.
· Develop AI applications using LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
· Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
· Deploy and manage AI applications using Amazon Bedrock, SageMaker, Lambda, ECS/EKS, and other AWS services.
· Integrate AI models with enterprise applications, APIs, databases, and third-party platforms.
· Develop prompt engineering strategies and AI guardrails.
· Optimize AI models for scalability, performance, security, and cost efficiency.
· Collaborate with cross-functional teams to deliver production-ready AI solutions.
· Mentor junior engineers and contribute to AI architecture best practices.
Required Qualifications
· Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
· 10+ years of IT/software engineering experience.
· 4–5+ years of hands-on AI/ML, Generative AI, and LLM application development.
· Strong Python programming skills.
· Hands-on experience with Agentic AI, LLMs, RAG, Prompt Engineering, Vector Databases, MCP, Function Calling, and AI evaluation.
Preferred Qualifications
· Enterprise AI governance and Responsible AI.
· Multi-agent AI systems.
· MLOps and CI/CD for AI/ML pipelines.
· Integration with Salesforce, ServiceNow, SAP, or Microsoft 365.
· Banking, Financial Services, Insurance, or Healthcare experience.
· AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect certifications.
Additional Requirement
· Hybrid contract position.
· W2 Only. No C2C, 1099, or third-party candidates.
