About The Position

Define the technical direction for a 60-person engineering organization building the AI-first content platform for AWS documentation — one of the most visited technical documentation sites in the world. You'll work across six engineering teams spanning content management, publishing infrastructure, content automation, AI/ML, knowledge graphs, and content delivery to drive architectural coherence and make the hard technical bets that determine whether this platform succeeds. The fundamental question you'll help answer: in an era where developers increasingly interact with AI agents instead of reading documentation, what should a content platform actually be? The answer isn't obvious, and it's changing fast. You'll operate in a space where the right architecture depends on assumptions about AI capabilities 2–3 years out, where you're balancing a live production system serving millions of users against a platform transformation, and where the technical decisions have direct product implications. This is a role for an engineer who wants to shape how a large organization navigates a genuine technology inflection point — not incrementally improving an existing system, but figuring out what the system should become.

Requirements

  • Experience as a principal-level engineer or equivalent technical leader in a large-scale software engineering organization
  • Demonstrated ability to set technical direction across multiple teams or systems
  • Experience designing and evolving distributed systems or platform architecture at scale
  • Experience with AI/ML systems, agentic workflows, or applied AI in production environments
  • Strong written and verbal communication skills, with the ability to clearly articulate technical rationale to both engineering and leadership audiences

Nice To Haves

  • Experience with knowledge graph architecture, semantic data modeling, or graph-based systems
  • Experience with content management, publishing infrastructure, or developer documentation platforms
  • Familiarity with MCP (Model Context Protocol) server design or agent-accessible API architecture
  • Experience leading platform migrations on live production systems
  • Track record of mentoring senior engineers toward principal-level scope

Responsibilities

  • Set technical direction across six engineering teams, ensuring architectural decisions compound rather than conflict
  • Make high-judgment calls on build-vs-integrate-vs-deprecate for systems spanning content management, publishing, AI agents, knowledge graphs, and automation
  • Drive resolution of cross-cutting technical problems that no single team owns — data flow architecture, API contracts, platform boundaries, migration strategy
  • Evaluate and de-risk the organization's technical bets on AI, particularly around agentic content operations and autonomous workflows
  • Raise the engineering bar across the organization through design reviews, mentorship, and establishing technical standards
  • Represent TCX Engineering's technical perspective to senior leadership and partner organizations

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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