AI Architect - Enterprise Generative AI

Acunor is Hiring: AI Architect – Enterprise Generative AI

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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. xhyhwjd

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