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Solution Architect - GenAI

CompassX Group· Solutions – Data & AI
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Hybrid (Irvine, CA)$150k - $190kFull-timePosted 4mo ago

About the role

GenAI Solutions Architect who designs end-to-end AI-powered systems, builds agentic AI workflows, and helps clients operationalize AI in production within enterprise environments.

Responsibilities

  • Architect GenAI Solutions: Design end-to-end architectures for AI-powered applications - from LLM selection and prompt engineering through orchestration, retrieval-augmented generation (RAG), and integration with enterprise data environments.
  • Build and Orchestrate Agents: Build agentic AI workflows using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar; orchestrate multi-agent systems with real, shipped results.
  • Own the AI Stack: Work across the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure.
  • Bridge to Enterprise Systems: Integrate GenAI solutions with data platforms, APIs, IAM controls, and compliance requirements within enterprise architectures.
  • Advise Client Leadership: Translate architectural decisions into strategic narratives for leadership and help clients move from AI experimentation to AI-enabled operations.
  • Accelerate the Team: Bring patterns, reusable components, and technical standards to the delivery team to increase efficiency.

Qualifications

  • Hands-On GenAI Experience: Built production or near-production GenAI systems; addressed evaluation, hallucination, latency, and cost at the architecture level.
  • Agentic AI Fluency: Practical experience building agentic workflows and multi-agent systems with LangChain, LangGraph, AutoGen, CrewAI, or similar.
  • LLM Platform Breadth: Experience with major LLM platforms and APIs (OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
  • Engineering Foundation: Strong Python skills and cloud-native experience (AWS, Azure, or GCP); ability to write code.
  • Data Architecture Context: Understanding of data consumption by AI systems (vector stores, embeddings, RAG architectures).
  • Consulting & Communication: Experience in client-facing or consulting delivery; ability to explain AI architecture to technical and business stakeholders.
  • Builder Mentality: Preference for building and deploying in enterprise environments.

Skills

Required:GenAI architectureAgentic AI frameworksLLM platforms & APIsPythonCloud experienceData architecture for AIConsulting/communication

Benefits

  • Competitive salary with performance-based bonus
  • PTO, holidays, and sabbatical program
  • Health, dental, vision, and life insurance
  • Retirement plan with company match from day one
  • Learning and professional development support
  • Small-firm culture with direct access to leadership
Last updated Oct 21, 2026. Interested? Apply on the company site.

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