Job Title: SR GEN AI Engineer
Location: Minneapolis, MN
Duration: 12 Months + Extension
Bill Rate: $87/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
POSITION OVERVIEW :
Job Description
Seeking a Store AI Agent Lead to architect, build, and scale AI-powered agents supporting store operations. The role requires strong hands-on experience with Agentic AI, LLMs, RAG, vector search, AWS, and enterprise system integration, along with the ability to take solutions from architecture through production.
Key Responsibilities
- Lead the end-to-end architecture and implementation of Store AI Agents.
- Design agentic workflows integrating LLMs with APIs, databases, backend services, enterprise applications, and MCP servers.
- Build and optimize RAG solutions, including embeddings, retrieval, vector search, grounding, and context management.
- Define the process for onboarding and integrating new AI agents, including testing, deployment, monitoring, and production readiness.
- Establish clear architecture between LLM reasoning/generation and deterministic backend services.
- Leverage Lakehouse/Medallion architecture (Bronze, Silver, Gold) to support AI and data use cases.
- Define scalable approaches for AI/RAG testing, validation, observability, and performance optimization.
- Address production challenges including latency, context limitations, retrieval quality, scalability, and reliability.
- Provide technical leadership across AI/ML, data engineering, cloud, application, and business teams.
Required Skills & Experience
- Proven experience delivering at least one end-to-end LLM, RAG, or Agentic AI project.
- Strong architectural and hands-on experience with Generative AI on AWS.
- Hands-on knowledge of LLMs, RAG, embeddings, vector search, and agentic workflows.
- Experience integrating AI agents with APIs, databases, backend services, and enterprise systems.
- Understanding of MCP (Model Context Protocol) and agent-to-tool/service integration.
- Experience with Lakehouse and Medallion Architecture and data pipeline optimization.
- Strong understanding of AI testing, observability, security, scalability, latency, and production performance.
- Ability to articulate end-to-end architecture, technology choices, integration patterns, and design trade-offs.
Preferred
- Experience with AWS-based GenAI and data platforms.
- Experience building enterprise-scale AI agents or multi-agent solutions.
- Exposure to modern vector databases, Lakehouse technologies, and AI orchestration frameworks.
- Strong technical leadership and stakeholder communication skills.
Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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