Tribe AI

Lead the deployment of AI/ML systems in enterprise environments, ensuring reliability, scalability, and integration with client systems. | Over 5 years of experience in engineering, with proven experience shipping AI/ML systems into production, and strong Python skills. | About Tribe AI: At Tribe, we’re on a mission to help enterprises rearchitect their business with AI. Today, every large enterprise wants to transform its business with AI, but they often lack the capabilities to do so. At Tribe, this gap is our opportunity. ‍ About the Role We’re looking for a Forward Deployed AI Architect 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 Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems. Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools. Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments. Solution Implementation Translate high-level designs into working components that deliver measurable outcomes. Debug relentlessly - optimize for reliability in production, not just elegance in code. Write modular, reusable code that balances speed of delivery with long-term maintainability. Collaboration & Enablement Embed with client engineering teams to accelerate adoption and integration. Share insights from field implementations to inform reusable components in our platform. Document decisions with clarity so both clients and internal teams can build on your work. ‍ About You: 5+ years of engineering experience, with proven work shipping AI/ML systems into production. Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs). Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP). Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines). Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony. Comfortable in client-facing environments - credible with engineers, clear with executives. ‍ Why Join Us: Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises. Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts. Variety: Solve problems across industries, from finance to healthcare to defense. Culture: Work in a team that prizes resilience, creativity, and winning over process. Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery. ‍