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AI Architect- Need Visa Independent Candidates

Incorporan IncRedmond, WA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationRedmond, WA, United States
Apache SparkMLOpsNLPScikit-learnDatabricksDeep LearningGDPRHugging FacePythonGenerative AIAzureCI/CDLangChainLangGraphRAG

Job description

Job Title: AI Architect

Locations: Redmond, WA (Onsite)

Duration: 12+ Months

Job Description:

Skill & Experience:
15+ years in Data/AI/ML Engineering
Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Azure App Insights
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, prompt optimization, and safety/guardrails
o GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
o CI/CD, MLOps/LLMOps, SDLC o Explainable AI (XAI)
Cloud certifications (Microsoft Azure) is a plus.
Responsibilities:
  • Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
  • Build AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio
  • 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
  • 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.
  • Deliver Production-ready GenAI/Agentic applications.
  • Fine-tuned models and reproducible experiments.
  • Provide Clear documentation, test coverage, and deployment pipelines.
  • Regular updates on project status and deliverables to stakeholders.
  • Drive RFP/RFI solutioning, technical proposals, estimations, and client workshops.

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