Principal Engineer, Engineering AI Productivity
Lead internal agentic AI initiatives to boost R&D productivity. Define strategy, build roadmaps, and deliver LLM-powered automation and workflows for engineering teams.
About the job
What You Will Do
Strategy & Vision
- Define and evangelize the AI and agentic flows strategy — aligning business metrics, engineering needs, and platform opportunities.
- Build a roadmap for introducing agentic automation features, smart assistants, and AI-driven workflows across all aspects of engineering.
- Identify and resolve bottlenecks across the entire product and software development life cycle.
Cross-Functional Leadership
- Partner with Engineering, Trust and Security to integrate AI capabilities responsibly and at scale.
- Operationalize AI adoption internally and share use cases externally.
- Drive complex cross-team projects requiring multi-stakeholder alignment.
- Continuously raise the bar for code/architectural quality across engineering.
Execution & Delivery
- Lead the delivery of core agentic workflows that improve productivity across engineering.
- Balance hands-on contributions with effective delegation (60% execution, 40% strategy setting).
- Drive measurable adoption of AI tooling and flows with internal teams.
Governance & Best Practices
- Adopt industry standards, ethical frameworks, guardrails, and quality metrics for AI behavior and automated flows.
- Define success metrics and KPIs (e.g., AI-driven usage lift, automation ROI, reduction in manual workflows).
Thought Leadership
- Participate in external forums — conferences, podcasts, customer briefings.
- Evolve as the technology landscape shifts.
- Write internal playbooks for building and scaling agentic outcomes.
What You Will Bring
Technical and Product Acumen
- 8+ years driving strategic productivity initiatives, ideally in SaaS/Cloud platforms or developer tools with proven experience in AI initiatives.
- Expert in building distributed systems and/or the infrastructure and tools to support it.
Leadership & Collaboration
- Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
- Strong communicator who can translate complex technical strategies into impact-oriented outcomes.
Execution Focus
- Demonstrated track record delivering products or features that generated measurable business value.
- Comfortable defining success criteria, metrics, and ROI for ambiguous, future-facing domains.
AI/ML & Automation
- Hands-on experience with AI or adjacent AI/ML platform experience with LLM integration and workflow automation, with demonstrated appetite to build toward agentic patterns.
- Deep understanding of responsible AI practices and governance.
Customer & Business Mindset
- Passion for solving real customer problems with elegant, scalable solutions.
- Ability to tie technical efforts directly to business KPIs (adoption, retention, revenue impact).
What Gives You an Edge
- Experience working in cloud-native platforms or developer ecosystems.
- Prior leadership in scaling internal AI platforms or driving AI adoption across large organizations.
- Background in real-time data, event-driven architecture, or platform engineering.
Skills
Distributed Systems, Agentic AI, Llm Integration, Workflow Automation, Ai Governance, Platform Engineering, Cloud-Native Platforms, Event-Driven Architecture, Real-Time Data, Responsible Ai
Similar jobs
Engineering Management jobs
Docker
United States
Provides company-wide technical vision and architecture for Central Operations and Systems, spanning AI, infrastructure, developer experience, reliability, and corporate systems. The role requires 12+ years of software engineering experience, large-scale distributed systems expertise, and strong cross-company executive influence.
Weave
United States
Leads technical strategy and architecture for high-scale messaging infrastructure handling millions of messages, drives cross-team initiatives, and mentors senior engineers. Requires 12+ years experience in distributed systems, event streaming, and cloud-native backend engineering.
Crusoe
San Francisco, CA
Leads a team building foundational security services for Crusoe’s GPU cloud and infrastructure fleet, spanning identity, cryptography, runtime protection, access, vulnerability management, and architectural isolation. Requires 8+ years leading hands-on software or security engineering teams at large-scale infrastructure platforms.
Crusoe
San Francisco, CALeads the architecture, production launch, and team buildout for a safety-critical flexible-compute control system that manages AI infrastructure power in coordination with utilities. Requires extensive software engineering and team leadership experience, distributed orchestration expertise, and knowledge of data-center power systems and grid programs.
Anthropic
San Francisco, CA
Leads a small team responsible for the architecture, reliability, security, automation, and delivery of Anthropic’s global corporate campus and edge networks. The role requires 10+ years of enterprise networking experience, people management, and deep expertise in network operations and infrastructure.