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Staff Solutions Architect, Enterprise

Scale AI· Enterprise Sales
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Hybrid (New York, NY; San Francisco, CA)$212k - $265kfull-timePosted 5mo ago

About the role

Senior individual-contributor Solutions Architect responsible for leading technical execution on the most complex enterprise opportunities, owning strategic accounts, defining evaluation methodologies, and shaping product direction while mentoring others.

Responsibilities

  • Lead technical strategy and execution on the largest and most complex deals in your vertical, as the final technical authority.
  • Own qualification on ambiguous, multi-stakeholder opportunities and make go/no-go recommendations.
  • Define evaluation methodology for the vertical, including datasets, baselines, quality dimensions, and acceptance criteria.
  • Own long-term executive technical relationships with CTOs and engineering leadership across multiple accounts; convert relationships into sustained partnerships.
  • Lead workshops, technical deep dives, and executive presentations; build or direct prototypes to make complex solutions tangible.
  • Build reference architectures, demo environments, discovery patterns, and solution blueprints to standardize practice; drive patterns into product/solution stack.
  • Create or refine technical processes (qualification standards, workshop practice, scoping) to improve win rates and scalability of the SA function.
  • Synthesize patterns across accounts into input for Product and Engineering roadmap decisions.
  • Mentor other Solutions Architects, raise technical standards, participate in hiring, and document learnings for reuse.

Qualifications

  • Deep engineering background with enterprise-scale customer-facing technical experience (solutions architecture, sales engineering, forward-deployed engineering, or technical consulting). Proficiency in Python or equivalent language.
  • Track record owning technical outcomes on complex, multi-stakeholder deals with Fortune 500 or equivalent.
  • Strong systems thinking across cloud, data, and AI/ML architecture; production experience in Generative AI and LLM systems, including agentic systems and reliability characteristics.
  • Ability to define evaluation methodologies for problems without established metrics and negotiate quality bars that withstand validation and regulatory review.
  • Experience as a senior technical advisor to executive stakeholders with credibility when disagreeing with executives.
  • Evidence of technical work adopted beyond own engagements (reference architectures, methodologies, tooling).
  • Experience mentoring technical contributors and raising team standards.
  • Clear technical communication and problem-solving when requirements are unknown; able to state what is not known and how it would be determined.
  • Deep domain expertise in financial services, healthcare/life sciences, or consumer verticals.

Skills

Required:Engineering leadership in enterprise AIPythonExecutive stakeholder management

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • potential commuter stipend
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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