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Solution Architect - GenAI

CompassX Group, Irvine, CA +1

Posted pay

$150K–$190K

a year

Location: Irvine, CA +1
Work type: Hybrid
Level: Not given
Skills in the job text: Python
AWS
GCP
Azure
LangChain
Posted: May 18, 2026
Last check: 8 h ago
Job type: Solutions engineering

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CompassX Group

About CompassX Group: funding, hiring and pay

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The role

We're looking for a GenAI Solution Architect who can do both: design the architecture of AI-powered systems and get hands-on building them. This isn't a slide-deck role or a pure advisory role. You'll be orchestrating and building agentic AI systems in real enterprise delivery environments - and helping clients understand what they've actually got.

At CompassX, we're delivering AI-enabled solutions for some of the most complex enterprise clients in financial services, pharma, and beyond. We need someone who has moved past the hype and is actively building with the tools - agents, orchestration frameworks, LLM integrations, and the data infrastructure that makes them work in production.

This role sits at the leading edge of our AI practice. You'll shape how we deliver GenAI engagements and help define what good looks like for our clients.

What you will do

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: Go beyond design - build agentic AI workflows using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar. You know how to orchestrate multi-agent systems and have shipped something real.
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 existing enterprise architecture - data platforms, APIs, identity and access controls, and compliance requirements. Make AI work within the constraints of real organizations.
Advise Client Leadership: Translate technical architecture decisions into clear strategic narratives for client leadership. Help clients move from AI experimentation to AI-enabled operations.
Accelerate the Team: Bring patterns, reusable components, and technical standards to the delivery team. Be the person who makes everyone else faster.

What you need

Hands-On GenAI Experience: You have built production or near-production GenAI systems - not just demos. You've wrestled with evaluation, hallucination, latency, and cost at the architecture level.
Agentic AI Fluency: Practical experience building agentic workflows and multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar. You understand where these tools shine and where they fall apart.
LLM Platform Breadth: Hands-on experience with major LLM platforms and APIs: OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or equivalent. You know the trade-offs between them.
Engineering Foundation: Strong Python skills and comfort in cloud-native environments (AWS, Azure, or GCP). You can write the code, not just spec it.
Data Architecture Context: Understanding of how AI systems consume data - vector stores, embeddings, RAG architectures, and the data infrastructure that sits underneath production AI applications.
Consulting & Communication: Experience working in client-facing or consulting delivery contexts. You can navigate organizational complexity and explain AI architecture to both technical teams and senior business stakeholders.
Builder Mentality: You default to building. You use AI tools to accelerate your own work. You're excited to operate at the frontier of what's actually deployable in enterprise environments - not just what's theoretically possible.

Pay and 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

Our consultants say CompassX is a place where they can truly find their own path. As part of a smaller firm, they see the impact of their work, have an identity, and know their voice matters. They value the freedom to take the reins of their careers, shape their client work, and maintain a direct line to leadership.

With CompassX’s focus on serving local Southern California clients, consultants not only build lasting relationships but also see the results of their work in the communities where they live.

At CompassX, you won’t just follow a path - you’ll create one.

About CompassX Group

CompassX is a boutique business and technology consulting firm. We help Fortune 500 and high-growth clients deliver their most strategic initiatives, from enterprise transformations to digital and data-driven projects. With over 15 years of proven results, we’ve expanded across industries including financial services, pharmaceuticals, aerospace, consumer products, and quick service restaurants.

We are honored to be recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, and previously recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S.

Read the job posting on the CompassX Group site

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Source: the CompassX Group Lever job board. We last checked this job 8 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

CG

CompassX Group

Open tech jobs: 5
With posted pay: 100%
Median posted base: $130K–$175K

About CompassX Group: funding, hiring and pay

Compared with similar jobs

This base pay is near the median for solutions engineering jobs in other US places with no level in the job title.

Median: $168K a year
Other jobs in the group: 401

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.