AI Engineer

Cynet Systems • Redmond, WA

4d

About The Position

We are seeking an experienced AI Engineer with strong exposure to the Microsoft Azure stack, including Synapse, Fabric, Foundry, Copilot Studio, Databricks, and Power BI. The ideal candidate will have hands-on experience with ML projects covering supervised/unsupervised learning, forecasting, NLP, and deep learning. Proficiency with ML modeling tools such as Python, PySpark, Azure ML, Databricks, and Scikit-learn is essential. Experience with Microsoft Foundry and Microsoft Agentic Framework, along with expertise in LLMs, embeddings, vector databases, and RAG/GraphRAG, is required. Knowledge of CI/CD, MLOps/LLMOps, and SDLC is also necessary. Additionally, experience with L2/L3 Support for Immuta, Collibra, and AWS is expected.

Requirements

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed