Generative AI Azure Architect
Posted 1 day ago by 1759829226
Negotiable
Outside
Remote
USA
Summary: This role of Generative AI Azure Architect involves providing strategic advisory and technical expertise to enterprise customers in their AI transformations, particularly focusing on Azure AI services. The position requires designing scalable architectures, leading advanced AI projects, and ensuring compliance with governance frameworks. The architect will also conduct AI maturity assessments and define technical roadmaps for effective AI deployment. This is a remote position with a duration of 12 months.
Key Responsibilities:
- Design and deliver scalable architectures for GenAI and Agentic AI solutions using the Azure stack.
- Architect and orchestrate context-aware AI systems to unify enterprise data for accurate LLM/Agentic consumption.
- Lead projects involving complex AI applications, such as generating code to drive data and application workflows.
- Conduct AI maturity assessments, define technical roadmaps, and articulate business value to stakeholders.
- Define and implement governance frameworks and security policies for AI deployments.
- Design and lead multi-agent system development and integrate LLMs with vector databases and knowledge graphs.
Key Skills:
- 10+ years in AI/ML and enterprise architecture, with 3+ years in LLMs/GenAI platforms.
- Proven ability to architect and implement solutions on the Azure platform, specifically with Azure AI Foundry and Databricks.
- Experience leading context engineering initiatives in large enterprises.
- Bachelor's or Master's in Computer Science, AI/ML, Data Science, or a related field.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Generative AI Azure Architect
Location: Remote
Duration: 12 months
This role requires a blend of strategic advisory and deep technical expertise to guide enterprise customers through AI, GenAI, and Agentic AI transformations, with a critical focus on Azure AI services.
Core Responsibilities
Azure AI Architecture & Execution: Design and deliver scalable architectures for GenAI and Agentic AI solutions, emphasizing the Azure stack and platforms like Azure AI Foundry.
Context Engineering: Architect and orchestrate context-aware AI systems, building frameworks and pipelines that unify enterprise data (structured/unstructured) for accurate LLM/Agentic consumption.
Advanced AI Use Cases: Lead projects involving complex AI applications, such as using GenAI/Agentic AI to generate code (e.g., Spark SQL in Databricks) to drive data and application workflows.
Strategy & Advisory: Conduct AI maturity assessments, define technical roadmaps, perform gap analysis, and articulate the business value of context-aware AI to executive stakeholders.
Governance & Compliance: Define and implement robust guardrails, security policies, and enterprise governance frameworks (e.g., HIPAA, GDPR) for AI deployments.
Orchestration & Integration: Design and lead multi-agent system development (using frameworks like LangGraph, AutoGen) and integrate LLMs with vector databases and knowledge graphs.
Qualifications & Experience
Experience: 10+ years in AI/ML and enterprise architecture, with 3+ years in LLMs/GenAI platforms and orchestration.
Deep Azure Expertise: Proven ability to architect and implement solutions on the Azure platform, specifically with Azure AI Foundry, Databricks, GenAI, and Agentic AI.
Key Skill: Demonstrated experience leading context engineering initiatives in large enterprises.
Education: Bachelor s or Master s in Computer Science, AI/ML, Data Science, or a related field.