AI Architect- Need Visa Independent Candidates

Redmond, WA, US • Posted 1 day ago • Updated 20 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Autogen
  • Cloud Computing
  • Continuous Integration
  • Databricks
  • Continuous Delivery
  • Database
  • Deep Learning
  • Documentation
  • Analytics
  • Forecasting
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • LangChain
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Microsoft
  • Microsoft Azure
  • Natural Language Processing
  • Optimization
  • Orchestration
  • PySpark
  • Python
  • Vector Databases
  • Workflow
  • scikit-learn
  • Software Development Methodology
  • Semantics
  • Roadmaps

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90557102
  • Position Id: 9126535
  • Posted 1 day ago
Contact the job poster
SV

Sai Vineeth Akula

Recruiter @ Incorporan Inc

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