AI Architect – Enterprise Generative AI (San Diego)
Acunor is looking for AI Architect – Enterprise Generative AI (San Diego) in San Diego, CA.
This local job opportunity with ID 3892361134 is live since 2026-10-16 00:12:06.
Acunor is Hiring: AI Architect – Enterprise Generative AI Location: San Diego, CA — Onsite Employment Type: Full-Time Experience: 10 Years Local Candidates Preferred 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. Key Responsibilities Design enterprise AI architecture, standards, and implementation frameworks. Build GenAI solutions using OpenAI, Anthropic Claude, and Google Gemini . Architect RAG pipelines, agentic workflows, multi-agent systems, and vector database solutions. Design AI platforms across Microsoft Azure and AWS . Implement AI governance, security, guardrails, monitoring, and Responsible AI practices. Lead architecture reviews, solution design workshops, and enterprise AI transformation initiatives. Develop reusable AI frameworks and production-ready solutions. Advise executive stakeholders on AI strategy, technology selection, and business value. ✅ Must-Have Skills 10 years in software engineering, cloud, data platforms, or enterprise architecture. 5 years of AI/ML experience and 3 years of enterprise GenAI/LLM experience. Hands-on expertise with OpenAI, Claude, Gemini, and multi-model orchestration . Strong Azure experience: Azure OpenAI, AI Foundry, Azure ML, and AKS. Strong AWS experience: Amazon Bedrock, SageMaker, Lambda, and EKS/ECS. Expertise in RAG, vector databases, LangChain, LangGraph, and LlamaIndex . Experience with AI agents, prompt engineering, model evaluation, and fine-tuning. Strong MLOps/LLMOps, model monitoring, and AI governance knowledge. Proficiency in Python, SQL, REST APIs, microservices, and CI/CD. Excellent executive communication and stakeholder management skills. Preferred: Responsible AI, enterprise AI governance, healthcare/financial services experience, and relevant Azure/AWS AI certifications.5c143e31-5e48-4549-b638-05792d185386
Acunor is Hiring: AI Architect – Enterprise Generative AI Location: San Diego, CA — Onsite Employment Type: Full-Time Experience: 10 Years Local Candidates Preferred 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. Key Responsibilities Design enterprise AI architecture, standards, and implementation frameworks. Build GenAI solutions using OpenAI, Anthropic Claude, and Google Gemini . Architect RAG pipelines, agentic workflows, multi-agent systems, and vector database solutions. Design AI platforms across Microsoft Azure and AWS . Implement AI governance, security, guardrails, monitoring, and Responsible AI practices. Lead architecture reviews, solution design workshops, and enterprise AI transformation initiatives. Develop reusable AI frameworks and production-ready solutions. Advise executive stakeholders on AI strategy, technology selection, and business value. ✅ Must-Have Skills 10 years in software engineering, cloud, data platforms, or enterprise architecture. 5 years of AI/ML experience and 3 years of enterprise GenAI/LLM experience. Hands-on expertise with OpenAI, Claude, Gemini, and multi-model orchestration . Strong Azure experience: Azure OpenAI, AI Foundry, Azure ML, and AKS. Strong AWS experience: Amazon Bedrock, SageMaker, Lambda, and EKS/ECS. Expertise in RAG, vector databases, LangChain, LangGraph, and LlamaIndex . Experience with AI agents, prompt engineering, model evaluation, and fine-tuning. Strong MLOps/LLMOps, model monitoring, and AI governance knowledge. Proficiency in Python, SQL, REST APIs, microservices, and CI/CD. Excellent executive communication and stakeholder management skills. Preferred: Responsible AI, enterprise AI governance, healthcare/financial services experience, and relevant Azure/AWS AI certifications.5c143e31-5e48-4549-b638-05792d185386