AI Architect - Enterprise Generative AI

Job Description

Role: AI Architect – Enterprise Generative AI

\n

Location: San Diego, CA — Onsite

\n

Employment Type: Full-Time

\n

Experience: 10+ Years

\n

Local Candidates Preferred

\n

\n

We are looking for an experienced AI Architect to lead the design and deployment of enterprise-scale AI and Generative AI solutions. The ideal candidate should have strong expertise in multi-model GenAI architecture, cloud platforms, RAG, and agentic AI systems, along with excellent executive communication skills.

\n

\n

Key Responsibilities

\n

\n
• Design enterprise AI architecture, standards, and implementation frameworks.
\n
• Build GenAI solutions using OpenAI, Anthropic Claude, and Google Gemini .
\n
• Architect RAG pipelines, agentic workflows, multi-agent systems, and vector database solutions.
\n
• Design AI platforms across Microsoft Azure and AWS .
\n
• Implement AI governance, security, guardrails, monitoring, and Responsible AI practices.
\n
• Lead architecture reviews, solution design workshops, and enterprise AI transformation initiatives.
\n
• Develop reusable AI frameworks and production-ready solutions.
\n
• Advise executive stakeholders on AI strategy, technology selection, and business value.
\n

\n

\n

Must-Have Skills

\n

\n
• 10+ years in software engineering, cloud, data platforms, or enterprise architecture.
\n
• 5+ years of AI/ML experience and 3+ years of enterprise GenAI/LLM experience.
\n
• Hands-on expertise with OpenAI, Claude, Gemini, and multi-model orchestration .
\n
• Strong Azure experience: Azure OpenAI, AI Foundry, Azure ML, and AKS.
\n
• Strong AWS experience: Amazon Bedrock, SageMaker, Lambda, and EKS/ECS.
\n
• Expertise in RAG, vector databases, LangChain, LangGraph, and LlamaIndex .
\n
• Experience with AI agents, prompt engineering, model evaluation, and fine-tuning.
\n
• Strong MLOps/LLMOps, model monitoring, and AI governance knowledge.
\n
• Proficiency in Python, SQL, REST APIs, microservices, and CI/CD.
\n
• Excellent executive communication and stakeholder management skills.
\n

\n

\n

Preferred: Responsible AI, enterprise AI governance, healthcare/financial services experience, and relevant Azure/AWS AI certifications.