Solution Architect - GenAI

CompassX Group • Los Angeles, CA

3d • Hybrid

About The Position

CompassX is a boutique business and technology consulting firm that helps Fortune 500 and high-growth clients deliver strategic initiatives, including enterprise transformations and digital/data-driven projects. With over 15 years of experience, CompassX has a proven track record across various industries. The firm is recognized for its positive work environment, having won awards such as Consulting Magazine’s Best Boutique Firms to Work For. The GenAI Solution Architect role is a hands-on position focused on designing and building AI-powered systems, specifically agentic AI systems in enterprise delivery environments. This role is at the forefront of CompassX's AI practice, shaping how GenAI engagements are delivered and defining best practices for clients. The position requires someone who has moved beyond the hype and is actively building with current AI tools, including agents, orchestration frameworks, LLM integrations, and production-ready data infrastructure.

Requirements

• Hands-On GenAI Experience: Proven experience building production or near-production GenAI systems, addressing challenges like evaluation, hallucination, latency, and cost at the architecture level.
• Agentic AI Fluency: Practical experience building agentic workflows and multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar, with an understanding of their strengths and limitations.
• LLM Platform Breadth: Hands-on experience with major LLM platforms and APIs, including OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or equivalent, understanding their trade-offs.
• Engineering Foundation: Strong Python skills and proficiency in cloud-native environments (AWS, Azure, or GCP).
• Data Architecture Context: Understanding of how AI systems consume data, including vector stores, embeddings, RAG architectures, and the underlying data infrastructure for production AI applications.
• Consulting & Communication: Experience in client-facing or consulting delivery roles, with the ability to navigate organizational complexity and communicate AI architecture to both technical teams and senior business stakeholders.
• Builder Mentality: A proactive approach to building and using AI tools to accelerate work, with an interest in operating at the frontier of deployable enterprise AI solutions.

Responsibilities

• Architect GenAI Solutions: Design end-to-end architectures for AI-powered applications, including LLM selection, prompt engineering, 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, and orchestrate multi-agent systems.
• Own the AI Stack: Work across the full GenAI delivery stack, including 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 existing enterprise architecture, including data platforms, APIs, identity and access controls, and compliance requirements, ensuring AI works within organizational constraints.
• Advise Client Leadership: Translate technical architecture decisions into clear strategic narratives for client leadership, helping clients transition from AI experimentation to AI-enabled operations.
• Accelerate the Team: Contribute patterns, reusable components, and technical standards to the delivery team to enhance team efficiency.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed