AI Engineer

Role: AI Engineer

Location (with City & State): Redmond, WA - Remote

W2 Contract

Responsibilities:

• Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks

• Well-versed with the Microsoft Agentic Framework (MAF)

• Build RAG pipelines, vector DB integrations & autonomous workflow orchestration

• Design and lead ML project lifecycles — data prep, modeling, training, evaluation, deployment & MLOps

• Govern full SDLC for Data, ML, and GenAI platforms

• Drive RFP/RFI solutioning, technical proposals, estimations & client workshops

• Ensure strong security, compliance, governance (GDPR, CCPA, PII)

• Produce robust architecture blueprints, ML design docs, and runbooks

• Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.

• Design secure, scalable data and AI solutions to deliver measurable business value.

• Lead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs.

• Accelerate adoption and ensure long-term technical viability.

Skill & Experience:

• 15+ years in Data/AI/ML Engineering or 15+ years

• Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI

• Hands-on with: o ML projects (supervised/unsupervised, forecasting, NLP, deep learning) o ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn o Microsoft Foundry, Microsoft Agentic Framework o LLMs, embeddings, vector databases, RAG/GraphRAG o CI/CD, MLOps/LLMOps, SDLC