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W3Global · 2 days ago

Azure Agentic AI Architect

San Francisco Bay Area

Full-time

Hybrid

Senior Level, Lead/Staff

12+ years exp

W3Global is seeking a seasoned Azure AI Architect with deep expertise in Azure Generative AI and agentic AI systems. The ideal candidate will be responsible for defining the Azure AI architecture roadmap, providing technical leadership, and delivering Generative AI solutions while ensuring compliance with Responsible AI standards.

ConsultingRecruitingStaffing Agency

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Define and own the Azure AI architecture roadmap for GenAI, search, recommendation, and agentic AI solutions

Design scalable, secure, and cost-optimized AI architectures using Azure-native services

Provide technical leadership and mentorship to AI/ML engineers and data scientists

Partner with business and engineering leaders to align AI initiatives with enterprise objectives

Architect and deliver Generative AI solutions using Azure OpenAI, Azure AI Foundry, and Azure AI Services

Design and implement agentic AI workflows using LangChain, LangGraph, and tool/function calling patterns

Build autonomous and semi-autonomous agents capable of reasoning, planning, and orchestration

Establish best practices for prompt engineering, evaluation, monitoring, and governance

Integrate LLMs into enterprise applications using Azure Functions, REST APIs, and event-driven architectures

Implement secure, scalable API layers for AI services with authentication, throttling, and observability

Drive adoption of LLMOps practices including prompt versioning, model monitoring, and feedback loops

Architect RAG-based solutions using Azure AI Search (Cognitive Search), Cosmos DB, and vector stores

Design semantic search, ranking, and recommendation pipelines for high-quality user experiences

Implement real-time and batch feedback loops to continuously improve relevance and accuracy

Define end-to-end ML/GenAI lifecycle architecture: ingestion, orchestration, deployment, monitoring

Leverage Azure-native DevOps and CI/CD pipelines for AI workloads

Ensure compliance with Responsible AI, data governance, security, and enterprise standards

Qualification

Azure Generative AILLM-based solutionsAgentic AI systemsAI architecture designMLOps practicesAzure-native servicesAPI integrationData governanceTechnical leadershipMentorship

Required

12+ years of experience in AI/ML engineering and architecture

1-2 years of experience on Generative/Agentic AI

Strong leadership capabilities

Hands-on experience designing and deploying production-grade AI solutions on Azure