Tribe AI

AI Solutions Architect

Tribe AI

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI systems architectureGenerative AImachine learningdata ingestiondata retrievaldeploymentreference architecturestechnical frameworksproduction-grade systemsend-to-end application development
Soft Skills
customer-facing instinctsdiscoverycommunication skillssystems thinkingcollaborationproblem-solvingtechnical advisoryproject scopingrisk assessmenttradeoff analysis