AI Architect

About the role

Were hiring an AI Architect to sit at the intersection of frontier AI research product and go-to-market. Youll partner closely with ML teams in high-stakes meetings scope and pitch solutions to top AI labs and translate research needs (post-training evals alignment) into clear product roadmaps and measurable outcomes. Youll drive end-to-end deliverypartnering with AI research teams and core customers to scope pilot and iterate on frontier model improvementswhile coordinating with engineering ops and finance to translate cutting-edge research into deployable high-impact solutions.

What youll do

• Translate research product: work with client side researchers on post-training evals safety/alignment and build the primitives data and tooling they need.
• Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard open-ended technical problems related to frontier model improvement performance and deployment.
  Shape and propose model improvement work: translate customer and research objectives into clear technically rigorous proposalsscoping post-training evaluation and safety work into well-defined statements of work and execution plans.
• Translate research into production impact: collaborate with customer-side researchers on post-training evaluations and alignment and help design the data primitives and tooling required to improve frontier models in practice.
• Own the end-to-end lifecycle: lead discovery write crisp PRDs and technical specs prioritize trade-offs run experiments ship initial solutions and scale successful pilots into durable repeatable offerings.
• Lead complex high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes.
• Partner across Scale: collaborate closely with research (agents browser/SWE agents) platform operations security and finance to deliver reliable production-grade results for demanding customers.
• Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g. RLVR benchmarks) close the loop with data quality and feedback and share learnings that elevate technical execution across accounts.

You have

• Deep technical background in applied AI/ML: 510 years in research engineering solutions engineering or technical product roles working on LLMs or multimodal systems ideally in high-stakes customer-facing environments.
• Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques evaluation design benchmarking and model quality iteration.
• Ability to work on hard ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope reason through and execute on deep technical challenges involving frontier models.
• Strong technical fluency: you can read papers interrogate metrics write or review complex Python/SQL for analysis and reason about model-data trade-offs.
• Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling.
• Bias to action: you ship learn and iterate.
  
  

How youll work

• Customer-obsessed: start from real research needs; prototype quickly; validate with data.
• Cross-functional by default: align research engineering ops and GTM on a single plan; communicate clearly up and down.
• Field-forward: expect regular customer time and research leads; light travel as needed.
  
  

What success looks like

• Clear wins with top labs: pilots that convert to scaled programs with strong eval signals.
• Reusable alignment & eval building blocks that shorten time-to-value across accounts.
  Crisp internal docs (PRDs experiment readouts exec updates) that drive decisions quickly.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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