--- title: 'AI Solutions Architect at Tribe AI' canonical: 'https://feeny.ai/job/ai-solutions-architect-tribe-ai-united-states-xx9gj9kbq6we' type: 'job' last_seen: '2026-09-12' --- # AI Solutions Architect at Tribe AI - **Company:** Tribe AI - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-01-29 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/tribe-ai/c40506b1-4d60-44e2-bc11-2f71e6f17833 ## Job description ## 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 As an AI Solutions Architect at Tribe AI, you’ll sit at the intersection of frontier AI capability and enterprise reality. You’ll serve as the technical bridge between our clients and internal AI experts—partnering closely with General Managers (Enterprise AEs) to understand customer needs, define high-impact AI use cases, and architect tailored solutions that can actually ship. This is not a “demo-only” role. You’ll lead technical discovery, make architectural tradeoffs, and build clarity in ambiguous environments—often pressure-testing ideas through rapid prototypes. You’ll also collaborate closely with frontier model labs like OpenAI and Anthropic (e.g., working sessions/calls with their Applied AI / solutions teams) to unblock constraints, validate approaches, and stay close to emerging capabilities. Key responsibilities: ‍• Lead technical discovery with customers to understand workflows, constraints, data realities, and success criteria—and translate that into a clear technical plan. - Architect end-to-end AI systems (GenAI + traditional ML when needed), spanning data ingestion, retrieval, orchestration, evaluation, deployment, and UX. - Design and deliver rapid prototypes that make abstract ideas concrete and de-risk key decisions (cost/latency/reliability, integration feasibility, quality thresholds). - Develop reference architectures and technical frameworks that demonstrate what’s possible with current and emerging AI technologies. - Guide clients through the AI landscape—capabilities, limitations, tradeoffs, and what it takes to operate AI systems in production over time. - Partner with sales teams to translate technical concepts into clear value propositions, proposals, business cases, and technical presentations. - Define technical requirements and scalable architecture patterns for production-grade systems (security, governance, observability, evaluation, and reliability). - Collaborate with fulfillment to ensure solutions align with customer needs and leverage Tribe AI’s capabilities—and help create smooth handoffs from pre-sales to delivery. - Stay current on frontier developments, bringing in SMEs from the Tribe network and collaborating with partners (including OpenAI/Anthropic) to keep customers ahead of the curve. - Act as a trusted advisor to technical and executive stakeholders navigating AI implementation and adoption challenges. ## About You - 5+ years leading technical workstreams; experience as a Solutions Architect, or a similar customer-facing technical role in the AI, cloud, data platform, or backend infrastructure space. - Strong customer-facing instincts: you can run discovery, ask the right questions, and turn ambiguity into clear architecture and next steps. - Experience scoping projects and estimating effort to build end-to-end applications (including assumptions, risks, milestones, and dependencies). - Strong fluency in Generative AI and the evolving LLM ecosystem and you’ve built or consulted on AI/GenAI systems in production. - Expertise with production cloud infrastructure (AWS, Azure, and/or GCP) and modern deployment patterns. - Systems thinker who can balance speed and rigor: you’re comfortable making tradeoffs and explaining them to both engineers and execs. - Excellent communication skills (written + verbal): you can make complex technical concepts feel simple and actionable. ## Why Join Us - Work at the frontier: collaborate closely with OpenAI and Anthropic teams as part of real customer work—staying close to what’s emerging and what’s actually deployable. - High-leverage, end-to-end ownership: shape what gets built and how—from first conversation through architecture, prototypes, and production path. - Diverse, cutting-edge projects across industries—solving problems that rarely have playbooks. - Build real systems: production-bound architectures, real constraints, real impact (not “innovation theater”). - Learn fast in a high-talent, low-bureaucracy environment where clarity and execution matter. - Shape the future of enterprise AI implementation alongside leaders who care deeply about excellence and outcomes. Travel Requirements - Frequently traveling to see clients and partners - ~1X per month ## Benefits - Competitive salary - Equity package - Health insurance - Unlimited Vacation time ## About Tribe AI ## Company Overview - **One-liner**: Tribe AI is an enterprise AI delivery company that bridges the gap between frontier AI models and real‑world applications, helping large organizations take AI from ambition to production. - **Entity Type**: Private (funding stage not publicly available) - **Headquarters**: New York, New York, United States - **Founded**: 2019 - **Founders**: Not disclosed in available data ## Core Business - **Primary industries**: Artificial Intelligence, Enterprise Software, AI Consulting & Services - **Target customers**: Fortune 1000 enterprises (B2B, large enterprise) - **Mission / purpose**: “Every company would need to become an AI company – and most weren’t ready. Tribe was born to close that gap.” (source: [tribe.ai/about-us](https://tribe.ai/about-us)) ## Products & Services - **AI Strategy & Executive Education**: Helps enterprise leaders identify the right problems and build AI roadmaps. - **End‑to‑End AI Product Development**: From proof‑of‑concept to production‑ready applications, delivered in weeks. - **AI Deployment & Scaling (Platform + Services)**: A combination of proprietary tools and specialized engineering to scale AI use cases. - **Claude‑Powered Due Diligence Copilot**: A specific AI product mentioned in recent updates. ## Market Standing - **Valuation / Market Cap**: Not publicly available - **Key Metric**: Headcount of 129 employees (+42.5% year‑over‑year, +45 people) – strong growth signal - **Notable Investors/Partners**: - Founding partnerships with **OpenAI** and **Anthropic** - Achieved **AWS Generative AI Competency** - Collaborations with **Amazon Web Services, Microsoft, Databricks** - **Growth Signals**: Operates in 14 countries; revenue and funding details not disclosed ## Competitive Advantages - **Speed + Quality**: Takes companies to production in weeks instead of months. - **Proven Value Creation**: Tackles CEO‑ and board‑level bets with $100M+ enterprise value at stake. - **AI Specialization**: “This is all we do” – hundreds of AI products built for large enterprises. - **Deep Frontier Model Partnerships**: Early partnership with OpenAI and Anthropic gives access to cutting‑edge models. ## Strategic Focus - Help the Fortune 1000 rewire their operations and become AI‑native companies. - Scale AI use cases from proof‑of‑concept to enterprise‑wide production. - Expand platform + services model to drive measurable business outcomes for clients. ## Why Work Here - **Remote‑First Culture**: Office in NYC, but no in‑person requirement; employees across the US. - **Compensation**: Roles range from $140K – $350K + equity (e.g., Forward Deployed AI Engineer $200K – $300K, Forward Deployed AI Architect $250K – $350K). - **Engineering Focus**: Roles like Forward Deployed AI Engineer, AI Solutions Architect, Infrastructure Engineer – strong emphasis on technical delivery. - **Talent Network**: Described as “one of the most concentrated networks of top AI talent outside of Big Tech” ([Built In](https://builtin.com/company/tribe-ai)). - **Growth & Impact**: High employee growth (42.5% YoY), early‑stage but with enterprise‑scale challenges. ## Sources 1. [tribe.ai](https://www.tribe.ai/) 2. [tribe.ai/careers](https://www.tribe.ai/careers) 3. [tribe.ai/about-us](https://tribe.ai/about-us) 4. [LinkedIn – Tribe AI](https://www.linkedin.com/company/tribe-ai) 5. [Built In – Tribe AI](https://builtin.com/company/tribe-ai) ## Other roles at Tribe AI - [People Operations Generalist](https://feeny.ai/job/people-operations-generalist-tribe-ai-united-states-p10vjcaebkys) — United States - [Security & AI Governance Lead](https://feeny.ai/job/security-ai-governance-lead-tribe-ai-united-states-jmpmsq2hvtwz) — United States - [Product Marketing Lead](https://feeny.ai/job/product-marketing-lead-tribe-ai-united-states-nvgmdbdbrhax) — United States - [Strategic Finance Lead](https://feeny.ai/job/strategic-finance-lead-tribe-ai-new-york-0w9ry5eq4yb4) — New York, NY - [Principal](https://feeny.ai/job/principal-tribe-ai-united-states-8nqjj24fh14n) — United States - [Forward Deployed CTO](https://feeny.ai/job/forward-deployed-cto-tribe-ai-united-states-q1hzvmwb0ncg) — United States - [Forward Deployed AI Product Engineer](https://feeny.ai/job/forward-deployed-ai-product-engineer-tribe-ai-united-states-3tgp0ah1jfxy) — United States - [EA to Co-Founder and CEO](https://feeny.ai/job/ea-to-co-founder-and-ceo-tribe-ai-new-york-k9s0z99hb2kb) — New York, NY - [AI Delivery Lead](https://feeny.ai/job/ai-delivery-lead-tribe-ai-united-states-p02tqc27q3m7) — United States - [Recruiter](https://feeny.ai/job/recruiter-tribe-ai-lisbon-qzmj8vs64x1w) — Lisbon, Portugal