AI Architect

Job Description

Job Description

Pay Range: $80-$90 per Hour.

JD Responsibilities
" Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LanEligible to workhain, 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 adEligible to workion 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/Graph RAG, prompt Eligible to workimization, 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