Tribe AI Logo

Tribe AI

Forward Deployed AI Architect

Reposted 8 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead client-facing AI engagements: design end-to-end AI/ML architectures, drive technical discovery, enable engineers, translate technical choices to business outcomes, and create reusable deployment patterns.
The summary above was generated by AI
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 Architect to lead our most mission-critical client engagements. Think of it as being the technical cofounder of the account: often starting as the first engineer on a new engagement, shaping the system from the ground up, and building and leading the team around you to deliver it. You'll be in the field — shoulder-to-shoulder with clients — designing end-to-end AI systems, setting technical direction, and leading and coaching the team that makes it real.

You'll be equal parts technologist, strategist, and translator: dropping into the weeds when systems need unblocking, stepping up to the balcony to shape client strategy, and always keeping focus on the only thing that matters - building technology that solves the most important problems for our customers.

Key Responsibilities:

Technical Leadership

  • Drive technical discovery with clients: understand environments, constraints, and the realities of dynamic enterprises.

  • Design AI/ML architectures that balance speed, reliability, and cost - but never at the expense of outcomes.

  • Provide architectural guardrails while enabling engineers to move fast and adapt in the field.

Team Leadership

  • Lead and coach the engineers on the account — set technical direction for people, not just systems.

  • Partner with the Forward Deployed CTO to support team’s growth as well as figure out team composition according to account needs.

Client Engagement

  • Act as the forward-deployed face of technical leadership, tailoring communication from engineers to C-levels.

  • Teach and enable client teams by turning complexity into clarity.

  • Influence decision-making by linking technical choices to business wins.

Delivery & Enablement

  • Guide engineers through execution without smothering them in process.

  • Translate client-specific solutions into reusable patterns that strengthen our platform.

  • Share insights across the company, raising the bar for future deployments.

About You:
  • 10+ years designing and delivering complex software systems, with strong AI/ML depth.

  • Track record of leading and coaching a team of 3+ engineers over multiple years

  • Proven experience as a hands-on technical lead — building and shipping — in high-stakes enterprise environments.

  • Mastery of the AI development lifecycle: from messy data ingestion to model deployment and monitoring.

  • Ability to engage credibly across audiences - engineers in the trenches, executives in the boardroom.

  • Background in consulting or client-facing engineering roles where outcomes mattered more than process.

  • Systems thinker with a missionary mindset: you’re here to win, not to optimize for your next job.

Why Join Us:
  • Impact: Lead the design of AI systems that move the needle for global enterprises.

  • Exposure: Work across industries on problems that rarely have playbooks.

  • Enablement: Build not just solutions, but client capabilities that outlast your engagement.

  • Culture: Join a team that prizes creativity, resilience, and the primacy of winning over process.

  • Growth: Stretch yourself - real growth is painful, nonlinear, and career-defining.

Similar Jobs

3 Days Ago
In-Office or Remote
6 Locations
150K-180K Annually
Senior level
150K-180K Annually
Senior level
Artificial Intelligence • Information Technology • Consulting
Build and deploy production generative AI systems, including LLM applications, agentic workflows, retrieval pipelines, and evaluation harnesses. Work directly inside customer operations to understand domains, redesign business processes, and ship maintainable cloud-native solutions on AWS. Own adoption and measurable business outcomes while collaborating with executives, operators, and engineering teams. Contribute to reusable industry blueprints and remain hands-on across backend, data, and AI development.
Top Skills: Amazon SagemakerAWSAws CdkAws NeptuneAzureCi/CdClaude CodeCloudFormationCoworkEcsGCPGenerative AiInfrastructure As CodeKubernetesLlmsMlflowNeo4JPythonPyTorchRetrieval-Augmented GenerationTerraformTypescript
2 Days Ago
In-Office or Remote
6 Locations
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting
Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.
Top Skills: Agentic SystemsAnthropicAWSAws CdkAws NeptuneChatgptCi/CdClaudeClaude CodeCloudFormationContainersCoworkDockerEcsGenaiIacInfrastructure As CodeKubernetesLlmsMlflowNeo4JPythonPyTorchSagemakerTerraformTypescript
2 Days Ago
In-Office or Remote
2 Locations
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Artificial Intelligence • Information Technology • Consulting
Embed with customers to learn their workflows, design and ship production GenAI/LLM solutions on AWS, build eval suites, operate and iterate systems, and partner with senior stakeholders to drive measurable business outcomes.
Top Skills: AnthropicAWSCi/CdClaudeClaude CodeContainersCoworkEcsGenaiIacKubernetesLlmPythonTypescript

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account