Forward Deployed AI Engineer
Posted 29 Jan 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
About Tribe AI:
At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity.
We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.
About the Role
We’re looking for a Forward Deployed AI Engineer to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environment is rarely “ideal.”
You’ll be the one who makes things work in the real world: taking designs from architects, wrestling them into production, and ensuring they scale reliably under real constraints. If you thrive on chaos, love solving problems end-to-end, and want your code to matter outside of demos, this role is for you.
Key Responsibilities:
Client Engagement & Delivery
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Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
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Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.
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Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.
Solution Implementation
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Translate high-level designs into working components that deliver measurable outcomes.
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Debug relentlessly - optimize for reliability in production, not just elegance in code.
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Write modular, reusable code that balances speed of delivery with long-term maintainability.
Collaboration & Enablement
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Embed with client engineering teams to accelerate adoption and integration.
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Share insights from field implementations to inform reusable components in our platform.
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Document decisions with clarity so both clients and internal teams can build on your work.