Gen AI Lead & Architect — AWS/LLMs (9-Month Contract)

Capgemini; Dallas (TX); On-site; USD 52,000 - 82,000; Part time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a Gen AI Lead/Architect with AWS experience to architect, build, and scale AI-powered store agents. This contract role demands hands‑on expertise in agentic AI, LLMs, RAG, vector search, and enterprise system integration, guiding solutions from architecture through production.

You will lead end‑to‑end architecture, design agentic workflows, optimize RAG pipelines, and ensure production readiness with scalable, observable solutions across APIs, databases, and

Qualifications

• 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.

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 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.

Skills

GenAI on AWS

LLMs & RAG

Agentic AI

API integration

Database integration

Lakehouse architecture

Medallion architecture

Technical leadership

Tools

APIs

Vector databases

MCP protocol

Embeddings

Job description

Tundra Technical Solutions is seeking a Gen AI Lead/Architect with AWS experience to architect, build, and scale AI-powered store agents. This contract role demands hands‑on expertise in agentic AI, LLMs, RAG, vector search, and enterprise system integration, guiding solutions from architecture through production.

You will lead end‑to‑end architecture, design agentic workflows, optimize RAG pipelines, and ensure production readiness with scalable, observable solutions across APIs, databases, and