Machine Learning / AI Contractor

Exciting Opportunity for Seasoned AI Leadership: Machine Learning / AI Contractor Please Note: This is a W2 position. Start Date: ASAP Duration: 6+ Months Location: Onsite in Atlanta, GA OR Hartford, CT OR St.Paul, MN Are you a dynamic AI engineer with a passion for shaping cutting-edge agentic systems on AWS? We’re seeking an experienced Machine Learning / AI Contractor to take the lead in developing and orchestrating next-generation AI solutions for a high-profile, funded project. This role offers a unique chance to influence architecture at scale, mentor innovative teams, and work directly with key stakeholders—all while leveraging your deep expertise in GenAI, AWS Bedrock, and multi-agent orchestration. In this position, you will drive strategic technical decisions, design complex RAG pipelines, and implement robust infrastructure-as-code strategies. Your hands-on experience combined with leadership skills will be instrumental in delivering impactful AI-driven products within a collaborative and fast-paced environment. If you’re ready to make a tangible impact in the AI space and thrive in a role that balances technical mastery with leadership, we want to hear from you. Key Responsibilities Lead architecture and provide technical direction for agentic AI systems built on AWS Bedrock AgentCore (Runtime, Gateway, Memory, Identity).Design multi-agent orchestration workflows utilizing tools such as LangGraph, LangChain, Strands, or CrewAI.Own and develop end-to-end Retrieval-Augmented Generation (RAG) pipeline architecture—including chunking, embeddings, vector indexing, retrieval tuning, and reranking.Drive Terraform-based infrastructure-as-code strategies for AWS AI workloads, including Bedrock, Lambda, API Gateway, IAM, VPC, and CloudWatch.Build and review production-grade Python services (FastAPI/Flask) exposing agent and RAG capabilities.Implement and manage MCP (Model Context Protocol) integrations ensuring secure, standardized tool/agent access.Establish evaluation and observability standards for hallucination detection, latency, and cost tracking using tools like RAGAS, LangSmith, and custom evaluation harnesses.Define and enforce AI governance standards—guardrails, prompt-injection defenses, PII masking, and audit logging.Lead technical design reviews, architecture decisions, and ensure best practices across the AI engineering team.Mentor and develop a team of AI/ML engineers, providing guidance on technical growth and ownership of hiring processes.Act as the primary technical point of contact for clients and business stakeholders regarding AI architecture and solutions. Required Skills 9+ years of software engineering experience with proven leadership3+ years of hands-on experience with production GenAI or agentic AI systemsExpertise in AWS Bedrock AgentCore (Runtime, Gateway, Memory, Identity)Strong Python skills and proficiency in Terraform infrastructure as codeDeep familiarity with RAG architecture, vector databases, and LLM evaluation frameworksExperience with agent orchestration tools such as LangGraph, LangChain, CrewAI, or StrandsProven ability to design multi-agent workflows, implement secure integrations, and establish observability standardsExperience building production Python services (FastAPI/Flask) and implementing MCP protocolsEffective stakeholder communication skills, including client-facing interactions Nice To Have Skills Insurance or claims domain experienceAWS certifications (AI Practitioner, Solutions Architect, ML Specialty)Experience with front-end technologies like ReactJS and NodeJSKnowledge of Jenkins, GitHub, Claude, CopilotPrior experience as a Forward Deployed Engineer (FDE) Preferred Education & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or related fieldsExtensive track record leading AI projects and teamsHands-on experience with multi-agent systems and orchestration frameworks This is a fantastic opportunity to work at the forefront of AI innovation within a well-funded and strategic project. If you’re driven by challenge, eager to lead, and possess the required expertise, don’t miss your chance—apply now to join our team of visionary AI professionals!