AI Architect - Visa Independent Consultants Only
About The Position
This is a remote position for an AI Architect. The role involves architecting and building AI solutions, focusing on agentic AI using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph, and multi-agent frameworks. Responsibilities include designing and leading ML project lifecycles, governing the full SDLC for Data, ML, and GenAI platforms, ensuring security and compliance, and producing architecture blueprints. The architect will engage with customer leaders to understand needs, design secure and scalable solutions, lead design sessions, and drive the adoption of AI technologies. The role also includes delivering production-ready applications, fine-tuning models, providing documentation, and driving RFP/RFI solutioning.
Requirements
- 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 ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
- Hands-on with ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
- Hands-on with Microsoft Foundry, Microsoft Agentic Framework
- Hands-on with LLMs, embeddings, vector databases, RAG/GraphRAG, prompt optimization, and safety/guardrails
- Hands-on with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
- Hands-on with CI/CD, MLOps/LLMOps, SDLC
- Hands-on with Explainable AI (XAI)
Nice To Haves
- 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 & client workshops
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
