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Distyl AI

Builds AI systems for enterprise operations

Enterprise AI Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of relevant experience across engineering, enterprise architecture, forward-deployed engineering, solutions architecture, or similar roles, with substantial customer-facing responsibility.
  • Hands-on production delivery experience designing, building, and shipping enterprise-grade agentic AI/machine learning systems, with the ability to reason about implementation tradeoffs, reliability, integration, scale, security, and operating constraints.
  • Demonstrated ability to serve as a senior technical advisor to executives, build trust, develop a point of view, shape ambiguous problems, influence decisions, and handle high-stakes technical conversations without relying on a script.
  • Proven ownership of complex enterprise solution architecture and scope, including writing technical statements of work and aligning customer teams, go-to-market, and delivery around what is buildable.
  • Ability to work effectively with forward-deployed engineering, delivery, product, and strategy teams, bringing them in at the right time, using their implementation depth, and maintaining continuity.
  • Strong working knowledge of application programming interfaces, integrations, cloud and enterprise architecture, data flows, security considerations, and modern AI systems; coding fluency to prototype, inspect systems, and engage deeply with engineers.
  • Deep domain expertise in one or more enterprise areas such as customer support, voice, marketing technology, cybersecurity, identity and access management, or document processing.
  • Able to travel 25% and meet onsite with customer teams; able to work from the New York or San Francisco office Tuesday through Thursday.

Responsibilities

  • Serve as the primary technical counterpart for strategic accounts, building trust with CIO- and CTO-level leaders, enterprise architects, and business executives; help customers identify where AI can materially change an operation, pattern-match from prior deployments, and shape an ambitious but deliverable technical vision.
  • Lead joint solution architecture with customer teams, applying the company's platform and technical primitives to real enterprise systems; use prototypes and demonstrations to validate key assumptions where needed; own the technical content of statements of work, including integrations, data access, deployment model, dependencies, assumptions, and risks.
  • Assess whether opportunities are well-suited for AI, evaluate data, systems, security, integration, and organizational constraints, and determine technical feasibility before committing to scope.
  • Translate recurring needs, architecture patterns, security constraints, and deployment learnings into reusable technical assets and concrete feedback that influences the platform, product, and engineering roadmap.
  • Stay engaged through architecture reviews, executive steering, major tradeoffs, risk escalations, and expansion opportunities while empowering the delivery lead to own execution.

Desired Qualifications

  • Background in a forward-deployed engineering, engineering, or technical consulting organization where both customer outcomes and technical decisions were owned.
  • Experience in a partner-like role at a consulting firm, high-growth technology company, or enterprise software company with long, C-suite-led sales cycles.
  • Experience at an early-stage startup and comfort operating in ambiguous environments where the playbook is still being built.

About the Company

Distyl AI

Builds AI systems for enterprise operations

Distyl AI builds AI systems for large enterprises that need to automate complex business operations rather than isolated tasks. Its Distillery platform brings the tools for creating and running those systems together, while engineers and researchers work alongside customers to define the problem and put solutions into use. The company combines purpose-built software with implementation engagements across telecom, healthcare, insurance, manufacturing and retail, covering work such as customer service and supply chain decisions. Customers buy tailored enterprise deployments that connect business expertise with AI tools and are measured against operational outcomes. Founded in 2022, Distyl AI is headquartered in San Francisco, California.

Company size
51-200
Company stage
Late Stage VC
Total funding
$202M
Headquarters
San Francisco, CA
Founded
2022

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