Note: The job is a remote job and is open to candidates in USA. Confidential company is seeking an AI Engineer to architect and deliver secure, scalable agentic AI, machine learning, data, and generative AI solutions. The role leads ML project lifecycles, platform SDLC governance, architecture sessions, solution proposals, customer workshops, and the development of data and AI roadmaps.
Responsibilities
- Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LanEligible to workhain, LangGraph & multi-agent frameworks
- 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
- 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 adEligible to workion and ensure long-term technical viability
Skills
- • 15+ years in Data/AI/ML Engineering or 15+ years
- • Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI
- 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
- O CI/CD, MLOps/LLMOps, SDLC
Benefits
- Remote work arrangement
Company Overview
Company H1B Sponsorship