AI Engineer
Resource Logistics Inc
Role: AI Engineer
Redmond, WA Onsite
JD Responsibilities
• Clienthitect Agentic AI solutions using Microsoft Foundry, Clienture 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 Clienthitecture 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 Clienthitecture 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 Clienture 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, Clienture ML, Databricks, Scikit-learn o Microsoft Foundry, Microsoft Agentic Framework o LLMs, embeddings, vector databases, RAG/GraphRAG o CI/CD, MLOps/LLMOps, SDLC
Redmond, WA Onsite
JD Responsibilities
• Clienthitect Agentic AI solutions using Microsoft Foundry, Clienture 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 Clienthitecture 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 Clienthitecture 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 Clienture 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, Clienture ML, Databricks, Scikit-learn o Microsoft Foundry, Microsoft Agentic Framework o LLMs, embeddings, vector databases, RAG/GraphRAG o CI/CD, MLOps/LLMOps, SDLC
Vacancy posted 1 day ago
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