Solution Architect - GenAI

CompassX Group

Los Angeles (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

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

Job summary

CompassX Group in Los Angeles is seeking a GenAI Solution Architect who will design and build AI-powered systems in enterprise environments. This role requires a hands-on approach to architecting GenAI solutions and orchestrating multi-agent AI workflows using frameworks like LangChain and AutoGen.

The ideal candidate will have experience with LLM platforms such as OpenAI and AWS Bedrock, a strong engineering background, and the ability to navigate complex client environments. Competitive salary ranges from $150,000 to $190,000, with additional benefits including PTO, insurance, and learning support.

Qualifications

Built production or near-production GenAI systems, not just demos.
Practical experience with agentic workflows and multi-agent systems.
Hands-on experience with major LLM platforms and APIs.
Strong Python skills in cloud-native environments.
Understanding of data consumption in AI systems.
Experience in client-facing contexts and navigating organizational complexity.
Excited to operate at the frontier of deployable enterprise solutions.

Responsibilities

Design end-to-end architectures for AI-powered applications.
Build agentic AI workflows using relevant frameworks.
Work across the full GenAI delivery stack.
Integrate GenAI solutions with existing enterprise architecture.
Translate technical decisions into strategic narratives for clients.
Accelerate the delivery team with reusable components and standards.

Skills

Hands-On GenAI Experience

Agentic AI Fluency

LLM Platform Breadth

Engineering Foundation

Data Architecture Context

Consulting & Communication

Builder Mentality

Tools

LangChain

LangGraph

AutoGen

CrewAI

OpenAI APIs

Anthropic Claude

Azure OpenAI

AWS Bedrock

Job description

We're looking for a GenAI Solution Architect who can 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’ll 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’ll Bring

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.