Technical Lead Manager, Enterprise AI

Rivian and Volkswagen Group Technologies

. Set the direction and roadmap for reusable AI tooling, including agent runtimes, evaluation, skills, plugins, and agentic loops .

Posted 10/28/2026full-timePalo Alto • California • United StatesSenior💰 $265,000 - $364,450 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating AI-native developer tools and internal platforms, with a strong focus on security, privacy, and auditability. Proven ability to lead engineering teams and shape AI workflows across multiple domains while optimizing for performance and cost.

Highest-signal resume keywords

AI-Native Developer ToolsProduction Systems ExperienceTeam LeadershipSecurity and Privacy ComplianceModel-Agnostic Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Tooling DevelopmentLanguage ModelsContext ManagementEvaluation in ProductionArchitecture DesignCI/CD SystemsAbstraction DesignOptimization TechniquesMonitoring and Evaluation

Soft Skills

Strong CommunicationInfluencing Engineering Leaders

Certifications & Qualifications

BS or MS in Computer Science

Industry Keywords

Enterprise EnvironmentsOpen-Source ModelsProprietary ModelsDeveloper Experience (DevEx)Engineering Management

About the role

Key responsibilities & impact

Set the direction and roadmap for reusable AI tooling, including agent runtimes, evaluation, skills, plugins, and agentic loops
Build model-agnostic AI tooling compatible with open-source and proprietary models
Apply AI across the development lifecycle, including code review, testing, and triage
Lead design reviews and build prioritized AI services and developer tools
Own reliability, observability, and cost of AI services and tools
Identify shared patterns and reuse components across engineering groups
Establish evaluation, guardrails, and monitoring for quality, safety, and developer impact
Optimize AI workloads for speed and affordability and make build-versus-buy decisions
Build security, privacy, and auditability into tools in partnership with Security, Compliance, and Audit
Shape AI-native development workflows with DevEx, IT, and domain teams
Lead and develop a small team of engineers

Requirements

What you’ll need

BS or MS in Computer Science or a related field, or equivalent experience
8+ years in software engineering, including production systems in enterprise environments
2+ years leading engineers as a tech lead or engineering manager
Hands-on experience building and operating AI-native developer tools, internal platforms, or CI/CD systems in production
Hands-on experience with language models and agents, including tool use, context management, and evaluation in production, across both open-source and proprietary models
Deep familiarity with the latest developments in AI, especially as they apply to software development
Experience designing abstractions that keep tooling portable across model providers and frameworks
Experience defining architectures and standards that create leverage across multiple teams
Working knowledge of security, privacy, and auditability for AI-enabled developer tooling
Strong communication skills, with the ability to influence engineering leaders across domains

Benefits

Comp & perks

Annual company performance bonus program for eligible full-time positions
Equity in the form of Restricted Stock Units (RSUs)
Health coverage
Retirement savings
Time off
Family planning programs
Comprehensive benefits package supporting health, wellbeing, and financial future