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# AI Engineer

- **Company:** CYNET SYSTEMS INC.
- **Location:** Redmond, WA, United States
- **Salary:** $93,600.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Cleansing, Software Design Documents, Python (Programming Language), Machine Learning, Natural Language Processing, Systems Development Life Cycle, Power BI, Azure Machine Learning, Large Language Models, Multi-Agent Systems, Deep Learning, Pyspark, Scikit Learn, Collibra, Machine Learning Operations, Virtual Agents, Unsupervised Learning, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/5177b465-4d0b-4485-9749-5ab3f2b3e7c6

## About the Role

* 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.

## Description

* 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.


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