AI Engineer

Job Title: AI Engineer

Job Location: Redmond, WA

Job Type: Contract

Job Overview:

Pay Range: $45.00hr - $50.00hr

Requirement/Must Have:

• Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, and Power BI.
• Hands-on experience with ML projects including supervised/unsupervised learning, forecasting, NLP, and deep learning.
• Proficiency with ML modeling tools such as Python, PySpark, Azure ML, Databricks, and Scikit-learn.
• Experience with Microsoft Foundry and Microsoft Agentic Framework.
• Expertise in LLMs, embeddings, vector databases, and RAG/GraphRAG.
• Knowledge of CI/CD, MLOps/LLMOps, and SDLC.
• Experience with L2/L3 Support for Immuta, Collibra, and AWS.

Responsibilities:

• Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph, and multi-agent frameworks.
• Utilize the Microsoft Agentic Framework (MAF) for solution development.
• Build RAG pipelines, vector DB integrations, and autonomous workflow orchestration.
• Design and lead ML project lifecycles including data preparation, modeling, training, evaluation, deployment, and MLOps.
• Govern full SDLC for Data, ML, and GenAI platforms.
• Drive RFP/RFI solutioning, technical proposals, estimations, and workshops.
• Ensure strong security, compliance, and governance including GDPR, CCPA, and PII.
• Produce robust architecture blueprints, ML design documents, and runbooks.
• Engage with 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 and develop data/AI and analytics roadmaps to drive PoCs and MVPs.
• Accelerate adoption and ensure long-term technical viability.

Skills:

• Microsoft Foundry.
• Azure OpenAI.
• LangChain.
• LangGraph.
• Microsoft Agentic Framework.
• RAG.
• Vector Databases.
• MLOps.
• Python.
• PySpark.
• Azure ML.
• Databricks.
• Scikit-learn.
• LLM.
• Immuta.
• Collibra.
• AWS.

Qualification And Education:

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

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities