AI Engineer
About the role
Note : We are unable to provide visa sponsorship at this time. Only U.S. Citizens and Green Card holders are eligible for this position.
Role :- AI Engineer
Location : Redmond, WA -- Remote is ok
Duration : 12 months + possible extension
JD Responsibilities
- Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, 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 adoption and ensure long-term technical viability.
Skill & Experience
- 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
- 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
o CI/CD, MLOps/LLMOps, SDLC
Responsibilities
- Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
- 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
Qualifications
- 15+ years in Data/AI/ML Engineering
- Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI
- Hands-on with ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
- ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
- Microsoft Foundry, Microsoft Agentic Framework
- LLMs, embeddings, vector databases, RAG/GraphRAG
- CI/CD, MLOps/LLMOps, SDLC
Skills mentioned
About TEKFORTUNE INC
Technology initiatives don't fail because talent doesn't exist. They fail when business needs aren't translated into the right technology capability — and when organizations lack the expertise to turn that capability into outcomes. Tekfortune bridges that gap. We're a US-based talent and engineering partner combining AI-powered talent intelligence, technology expertise, and product engineering to help enterprises Hire, Build, and Modernize their technology capabilities. Talent Solutions Our TalentOS brings business context into talent decisions — helping define roles, map skills, benchmark talent, and create structured evaluation criteria. Our technology specialists then validate talent against real-world technology stacks, domain requirements, and business outcomes. AI & Product Engineering Beyond talent, our AI & Product Engineering practice helps organizations modernize legacy systems, build AI and agentic AI solutions, and develop custom technology products and platforms: — AI-Enabled Modernization — legacy system assessment and modernization, using AI to accelerate code analysis and find the highest-impact areas to modernize first — Agentic AI Systems — architecture and implementation of production agentic AI — AI Readiness Advisory — a structured engagement model, from qualification through roadmap, backed by our proprietary AI-readiness framework — Custom Product Engineering — bespoke platform and product builds, end to end How We Deliver We deliver through specialist talent, RPO, dedicated delivery pods, GCC workforce build-outs, and managed teams — pre-vetted teams mobilized quickly and backed by AI-assisted SDLC tooling — with flexible engagement models designed around the outcome, not just the headcount. 100+ enterprise clients | 1,700+ deployments | 25+ technology asset developments
H-1B sponsorship history
Historical employer filing data was found for TEKFORTUNE INC. The employer record includes 5 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.