Location: Minneapolis, MN or Charlotte, NC
Job Type: Contract
Experience: 4+ years in AI; 3+ years in GTM or solution engineering
Job Overview
Key Responsibilities
- Define and execute AI platform adoption strategies; drive enterprise usage of LLMs, agent frameworks, APIs, and orchestration platforms
- Build prototypes, demos, proof-of-concepts, and production-ready AI solutions working directly with business teams
- Design RAG systems, vector search, multi-agent systems, tool-calling workflows, and memory frameworks
- Conduct workshops; develop SDKs, prompt libraries, templates, reusable components, and playbooks
- Present AI concepts and measurable business outcomes to executive stakeholders
- Ensure compliance with security, risk, regulatory, and Responsible AI governance standards
Required Skills
- Hands-on GenAI/LLM development experience
- Strong programming background
- Azure or GCP cloud platform experience
- Container technologies: Docker and Kubernetes/OpenShift
- 3+ years in GTM leadership, technical product management, solution engineering, or forward-deployed engineering
Preferred Skills
- Generative AI: LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG
- Agentic AI frameworks: LangChain, LangGraph, AutoGen, ADK, CrewAI
- LLMOps: evaluation, observability, guardrails, prompt versioning
- AI development tools: GitHub Copilot, Cursor, Devin
Location & Work Model
Minneapolis, MN or Charlotte, NC
Engagement Details
Contract engagement. Best suited for AI Solution Architects, AI Product Managers with coding skills, Forward-Deployed Engineers, GenAI Consultants, and AI Platform Adoption Leads.