Consulting Engineer, AI Developer Productivity

Motorola Mobility, a Lenovo Company, is seeking a Principal Architect for AI Developer Productivity to enhance the efficiency of their AI engineering teams. The role involves designing and implementing automation of developer workflows and leading initiatives to improve engineering velocity and productivity.

Responsibilities:

• Architect and implement end-to-end automation of developer workflows—from requirements and planning through coding, review, testing, and delivery—using AI tooling and agentic systems to eliminate manual toil and accelerate throughput
• Design and deploy multi-step agentic pipelines that augment developer capacity: autonomous code generation and review agents, intelligent test synthesis, automated documentation, and context-aware developer assistance integrated directly into the engineering environment
• Own the architectural decisions behind the developer toolchain—coding assistants, AI-augmented IDEs, autonomous agents, and supporting infrastructure—ensuring components are composable, maintainable, and purpose-built for AI development workloads
• Integrate AI productivity tooling deeply into the existing engineering platform—version control, issue tracking, code review, and runtime observability—so automation is ambient rather than opt-in
• Define and own the metrics framework for engineering velocity and productivity—establishing baselines, tracking improvement over time, and connecting automation investments to measurable outcomes (cycle time, defect rate, deployment frequency, developer satisfaction)
• Develop and maintain a multi-horizon productivity roadmap that anticipates the evolution of AI capabilities and continuously raises the ceiling on what the team can deliver
• Identify the highest-leverage automation and tooling opportunities across the LATC engineering organization and sequence investments for maximum near-term and long-term impact
• Set and govern standards for AI tooling and automation practices across the engineering organization; act as the final technical voice on developer productivity architecture decisions
• Champion an automation-first engineering culture, coaching senior engineers and tech leads on agentic workflows, prompt engineering for developer contexts, and AI-augmented development practices
• Partner with engineering leadership, product, infrastructure, and security to ensure productivity investments are well-integrated, compliant, and aligned with broader organizational direction
• Translate productivity strategy and outcomes into clear, business-grounded narratives for senior leadership; surface blockers and decisions that require executive attention
• Maintain a continuously updated view of the external AI developer tooling landscape—evaluating emerging tools, frameworks, and agentic architectures—and feed that intelligence into roadmap decisions

Requirements:

• Master's degree in Computer Science, Engineering, or a related technical field
• 15+ years of experience in software engineering, platform engineering, or developer productivity roles, with at least 3 years at a principal, staff, or architect level
• Demonstrated experience designing and delivering large-scale developer tooling, platform, or automation programs that produced measurable gains in engineering velocity
• Deep hands-on expertise with AI coding assistants, agentic workflow frameworks, and the emerging landscape of autonomous development tools
• Strong architectural background spanning developer toolchains, automation pipelines, and the infrastructure that underpins them—able to make and defend principled technology choices at scale
• Proven ability to lead through influence in a large, matrixed organization—building alignment across engineering teams, platform owners, security, and senior leadership without direct authority
• Hands-on programming experience in one or more modern languages (e.g., Python, Go, TypeScript); fluency in the tools and workflows of professional software development
• Strong command of engineering productivity metrics and the ability to build measurement frameworks that hold up under scrutiny
• Executive-level communication skills: able to synthesize complex technical strategy into clear, decision-ready narratives for VP- and C-level audiences
• Experience building or operating agentic AI systems in a production engineering context—including multi-agent orchestration, tool use, and retrieval-augmented workflows
• Background in AI/ML infrastructure or MLOps, with an understanding of the unique workflow pressures faced by AI research and engineering teams
• Prior experience in a platform engineering leadership role with broad authority over toolchain standards and developer experience
• Experience with organizational change management and engineering culture transformation at scale
• Familiarity with Lenovo's internal structure or similar large-scale, globally distributed technology organizations