Job Details
Title: AI /ML Lead
Location: Minneapolis, MN
Duration: Long term Contract
Summary:
We are looking for a Senior AI/ML Lead /Architect to lead the design and delivery of enterprise-grade AI solutions with a strong focus on Generative AI in healthcare.
This role requires deep expertise in RAG systems, Agentic AI, MLOps, and AI governance, along with hands-on experience building production-ready AI platforms.
Key Responsibilities:
AI Project Delivery
Lead end-to-end execution of AI/ML & GenAI projects
Translate business requirements into scalable AI architectures
Work closely with stakeholders and engineering teams for successful delivery
GenAI & Solution Architecture
Design and implement RAG-based systems and LLM applications
Build HIPAA-compliant AI solutions for healthcare use cases
Develop systems for:
Claims processing automation
Medical document / metadata extraction
Intelligent recommendation systems
AI Governance & Compliance
Drive AI governance and Responsible AI practices
Support AI review processes and ensure compliance (HIPAA, data privacy)
Implement ethical and secure AI frameworks
Team Leadership
Lead and mentor AI/ML Engineers & Data Scientists
Conduct architecture reviews, code reviews, and technical discussions
MLOps & Engineering
Build and manage ML/LLM pipelines and CI/CD workflows
Implement model monitoring, drift detection, and observability
Ensure best practices in versioning, deployment, and scalability
Required Skills:
Core AI/ML & GenAI
Strong experience in Generative AI (LLMs, RAG, Agentic AI)
Hands-on with Vector Databases (Pinecone, FAISS, Milvus, Weaviate)
Experience building production-grade AI systems
LLM Engineering
Experience with:
Embeddings & retrieval systems
Prompt engineering frameworks (LangChain, PromptFlow)
Multi-agent systems (CrewAI / LangGraph)
MLOps / LLMOps
CI/CD pipelines (GitHub Actions or similar)
Monitoring tools (MLflow, LangSmith, Prometheus, Grafana)
Model lifecycle management & drift detection
Technical Stack
Python
TensorFlow / PyTorch / scikit-learn
Cloud: AWS / Azure / Google Cloud Platform
Healthcare Experience (Must Have)
Experience working with:
Claims processing / clinical data / EHR
HIPAA compliance, PHI handling, data security
Qualifications:
Architect-level professional with end-to-end AI system ownership
Hands-on experience building real-world GenAI solutions
Strong in both architecture + execution
Never miss an opportunity! Create an alert based on the job you applied for.