GenAI Architect

Overview

This role is for a GenAI Architect with 15+ years in Data/AI/ML Engineering. Remote work location in the United States.

• Architect Agentic AI solutions using Azure OpenAI, Lang Chain, Lang Graph & multi-agent frameworks
• Build RAG pipelines, vector DB integrations & autonomous workflow orchestration
• Design and lead ML project life cycles - data prep, modeling, training, evaluation, deployment & MLOps
• Govern full SDLC for Data, ML, and GenAI platforms
• Implement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)
• Architect and deploy solutions across Azure, GCP, AWS
• Drive RFP/RFI solutioning, technical proposals, estimations & client workshops
• 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
• Maintain deep understanding of evolving AI capabilities, competitive insights, and market trends
• Demonstrate a growth mindset by continuously aligning your skills to team and customer needs
• Contribute to technical communities and mentor others to accelerate customer outcomes

• 15+ years in Data/AI/ML Engineering or 15+ years with Master’s
• Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
• Hands-on with: ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
• ML modeling tools:
  Python, PySpark, Azure ML, Databricks, Scikit-learn
• Lang Chain, Lang Graph, Agentic AI systems
• LLMs, embeddings, vector databases, RAG/GraphRAG
• CI/CD, MLOps/LLMOps, SDL
• Explainable AI (XAI)
• Strong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI
• Proven experience contributing to RFP/RFI responses and client solutioning

Note: The description references freelance data hiring and related privacy/privacy policy language present in the original text but excludes it here to maintain focus on the role and its requirements.