We are looking for Principal Agentic AI Architect - Remote / Telecommute for our client in Redmond, WA
Job Title: Principal Agentic AI Architect - Remote / Telecommute
Job Location: Redmond, WA
Job Type: Contract
Pay Range: $55.00hr - $60.00hr
Job Overview:
The candidate will serve as an Agentic AI Architect, designing secure and scalable data and AI solutions. The role involves leading machine learning project lifecycles, building RAG pipelines, and implementing multi-agent frameworks to drive measurable business value.
Responsibilities:
- Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph, and multi-agent frameworks.
- Utilize the Microsoft Agentic Framework (MAF) to drive AI orchestration.
- Build RAG pipelines, vector database integrations, and autonomous workflow orchestration.
- Design and lead machine learning project lifecycles, including data preparation, modeling, training, evaluation, deployment, and MLOps.
- Govern the full SDLC for Data, Machine Learning, and Generative AI platforms.
- Drive RFP/RFI solutioning, technical proposals, estimations, and client workshops.
- Ensure strong security, compliance, and governance adherence, including GDPR, CCPA, and PII.
- Produce robust architecture blueprints, machine learning 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 Proofs of Concept (PoCs) and Minimum Viable Products (MVPs).
- Accelerate platform adoption and ensure long-term technical viability.
Skill & Experience:
- 15+ years of experience in Data, AI, or Machine Learning Engineering.
- Strong exposure to the Microsoft Azure stack, including Synapse, Fabric, Foundry, Copilot Studio, Databricks, and Power BI.
- Hands-on experience with ML projects, including supervised and unsupervised learning, forecasting, NLP, and deep learning.
- Proficiency with ML modeling tools such as Python, PySpark, Azure ML, Databricks, and Scikit-learn.
- Direct experience with Microsoft Foundry and Microsoft Agentic Framework.
- In-depth expertise with LLMs, embeddings, vector databases, and RAG/GraphRAG architecture.
- Strong experience with CI/CD, MLOps/LLMOps, and full SDLC practices.
- Familiarity with Explainable AI (XAI) concepts and implementation.
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Benefits
Our Benefits Include:
- 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
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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