Lenovo
LenovoVerified Source

Principal Architect AI Developer Productivity

Onsite · San Jose, California
Posted August 12, 2026
payroll

Overview

Lenovo seeks a Principal Architect to accelerate AI engineering team velocity. This senior individual contributor role requires leading large-scale developer productivity initiatives and translating experience into measurable gains. The position sits at the intersection of applied AI platform architecture and engineering culture.

What You'll Do11

  • 1Develop and drive end-to-end automation of developer workflows using AI tooling and agentic systems
  • 2Design multi-step agentic pipelines that augment developer capacity through autonomous code generation and intelligent testing
  • 3Own developer toolchain architecture including coding assistants and AI-augmented IDEs
  • 4Integrate AI productivity tooling into version control and CI/CD processes for ambient automation
  • 5Define and own metrics framework for measuring engineering velocity and productivity outcomes
  • 6Create multi-horizon productivity roadmap aligning with AI capability evolution
  • 7Identify high-leverage automation opportunities and prioritize investments across LATC
  • 8Set technical governance standards for AI tooling and automation practices organization-wide
  • 9Champion automation-first culture through coaching and mentorship
  • 10Partner with cross-functional leaders to align productivity investments with strategic goals
  • 11Translate technical strategy into business narratives for executive leadership

Requirements11

  • 1Master’s degree in Computer Science Engineering or related field
  • 215+ years software engineering with 3+ years at principal staff or architect level
  • 3Proven experience designing large-scale developer tooling with measurable velocity improvements
  • 4Deep hands-on expertise in AI coding assistants and agentic workflow frameworks
  • 5Strong architectural background spanning developer toolchains and underlying infrastructure
  • 6Ability to lead through influence in matrixed organizations without direct authority
  • 7Hands-on programming proficiency in modern languages such as Python Go TypeScript
  • 8Command of engineering productivity metrics and measurement framework development
  • 9Executive-level communication skills for VP-C audience presentations
  • 10Experience building agentic AI systems in production environments
  • 11Background in AI/ML infrastructure or MLOps with understanding of AI research pressures

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationSan Jose, California

Required Skills

AI coding assistantsAgentic workflow frameworksPythonGoTypeScriptEngineering productivity metricsPlatform engineeringAutomation pipelinesMLOps
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