AI Solutions Architect

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🕒 February 26

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Tribe AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

Artificial Intelligence • Enterprise • B2B

Tribe AI is an enterprise AI consultancy and product studio that builds custom generative AI solutions and end-to-end AI products for large organizations. They combine a network of 600+ AI engineers and product leaders, partnerships with OpenAI/Anthropic/AWS, and domain experience to deliver rapid prototyping, production deployments, and measurable business outcomes across industries like financial services and healthcare.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary • Equity package • Health insurance • Unlimited Vacation time