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Lead Forward Deployed Engineer, AI Evaluation Platform

Apple· Software and Services
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Hybrid (Seattle, Washington)$175k - $263.3kfull-timePosted 4mo ago

About the role

Lead Forward Deployed Engineer (FDE) to drive solutions and adoption strategy for Apple’s AI evaluation platform. Build and integrate scalable, self-service evaluation tools for LLMs, agentic systems, and human-AI interaction. Serve as a technical bridge between science, platform engineering, and partner teams, balancing internal alignment with external engagement to operationalize advanced measurement techniques and shape the platform roadmap.

Responsibilities

  • Strategic Alignment & Execution: Partner closely with Science, Platform Engineering, and Product Management to connect high-level strategy to our day-to-day execution plan.
  • Solutions & Integration: Partner directly with feature teams to integrate evaluation primitives and SDKs into their unique workflows. Champion the transition from a consulting model to a self-service model.
  • Voice of the Developer: Work with external stakeholders on their current evaluation gaps and needs. Gather deep, actionable signal on our API quality and developer experience, and funnel these insights back to the team to inform roadmap timing and implementation.
  • Ecosystem & Community Building: Build demos, tutorials, and reference implementations showcasing evaluation best practices. Present a consistent branding and voice for the platform to foster a thriving internal community of ML developers.
  • Operationalizing Science: Partner closely with applied scientists and engineers to translate novel metrics and scoring algorithms into scalable, production-grade services. Help define what a "world-class" developer experience looks like for our platform.

Qualifications

  • 5+ years of experience in Solutions Architecture, Forward-Deployed Engineering, Developer Advocacy, Technical Program Management, or a related highly technical, cross-functional role.
  • Customer Obsession & Product Thinking: Experience acting as a technical partner to internal customers. Translate vague requirements from other teams into concrete engineering specifications.
  • Functional literacy in AI/ML concepts: Understand lifecycle of machine learning (datasets, training vs. inference, evaluation metrics) and discuss engineering challenges.
  • Demonstrated experience partnering with Applied Scientists or Researchers: Ability to navigate ambiguity of research workflows and operationalize scientific code.
  • Exceptional communication skills: Ability to represent the platform to executive leadership, partner teams, and the broader engineering community.
  • Demonstrated ability to navigate extreme ambiguity, define roadmaps where none existed, and influence without direct authority.
  • Deep familiarity with AI Evaluation Frameworks: Used or contributed to tools like DeepEval, Ragas, TruLens, LangSmith.
  • Experience designing research or tools with self-service adoption as a first-class constraint.
  • Previous experience operating in a "Chief of Staff" or strategic proxy capacity for a technical organization.
  • Background bridging research-heavy environments with production engineering teams.

Skills

Required:Strategic PlanningTechnical Liaison / BridgeDeveloper Advocacy

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational reimbursement (tuition)
  • Discretionary bonuses or commission potential and relocation options
  • Apple shareholder opportunities through stock programs
Last updated Jul 3, 2026. Interested? Apply on the company site.

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