AI Architect

Redmond, WA, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
12 Months
No Travel Required
On-site
$60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Database
  • Deep Learning
  • Databricks
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • PySpark
  • Roadmaps
  • Python
  • Software Development Methodology

Summary

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 & client workshops 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

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  • Dice Id: 10112463
  • Position Id: 9134287
  • Posted 6 hours ago
Contact the job poster
AJ

Amit Jha

Recruiter @ eTeam, Inc.

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