Title:Enterprise AI Architect / AI Platform Architect
Experience: 15+ years preferred
Location: San Diego, CA
Role Overview
We are seeking a senior Enterprise AI Architect / AI Platform Architect to lead the design of enterprise AI platforms, AI-enabled SDLC frameworks, agentic AI solutions, and modernization strategies.
This role requires a senior technology leader with experience across Enterprise AI Architecture, Agentic AI, GenAI platforms, product engineering, application modernization, APIs, microservices, cloud-native architecture, enterprise integration, and AI governance.
Key Responsibilities
Enterprise AI Architecture & Platform Strategy
- Define enterprise AI platform strategy, target-state architecture, and AI adoption roadmap.
- Architect scalable GenAI solutions, AI agents, RAG platforms, enterprise search, intelligent assistants, and automation frameworks.
- Design reusable AI platform capabilities including orchestration, evaluation, observability, governance, security, and lifecycle management.
Agentic AI & AI-Enabled SDLC
- Design agentic AI architectures supporting autonomous workflows, contextual reasoning, tool usage, and human-in-the-loop execution.
- Establish architecture patterns for AI-assisted engineering across requirements, design, development, testing, deployment, and documentation.
- Guide responsible adoption of tools such as Cursor, Claude Code, GitHub Copilot, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Gemini.
Modernization & Enterprise Integration
- Lead modernization strategy using API-first, microservices-based, cloud-native, and event-driven architecture patterns.
- Design integration frameworks connecting legacy platforms, modern applications, AI services, data platforms, and enterprise workflows.
- Establish reusable accelerators, platform standards, governance models, and enterprise architecture patterns.
Leadership & Stakeholder Advisory
- Act as a trusted advisor to business, product, engineering, architecture, and executive stakeholders.
- Lead architecture workshops, discovery sessions, solution reviews, roadmap planning, and technology strategy discussions.
- Translate business goals into practical AI platform roadmaps and executable architecture plans.
Required Qualifications
- 15+ years of experience in enterprise architecture, AI architecture, platform architecture, product engineering, or technology transformation.
- Strong experience designing enterprise-scale AI, GenAI, agentic AI, or intelligent automation platforms.
- Deep understanding of LLM applications, AI agents, RAG, enterprise search, orchestration, observability, MLOps/LLMOps, and AI governance.
- Strong background in APIs, microservices, enterprise integration, cloud-native platforms, and application modernization.
- Experience defining architecture roadmaps, reusable frameworks, platform standards, and modernization accelerators.
- Ability to influence executive stakeholders, architecture boards, product teams, and engineering leaders.
- Exposure to LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, LlamaIndex, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Gemini is preferred.