Principal Engineer, Technical Content Experience Team (TCX)
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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. Youll 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 youll 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 isnt obvious and its changing fast. Youll operate in a space where the right architecture depends on assumptions about AI capabilities 23 years out where youre 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.
Key job 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 organizations 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 Engineerings technical perspective to senior leadership and partner organizations
A day in the life
our morning might start with a design review for the knowledge graph teams approach to ingesting content metadata youll need to assess whether their schema will support the agentic search use cases the AI team is planning for Q3 or whether theyre building something that will need to be reworked. After that youre working through the architectural implications of a partner teams integration proposal that would change how API reference documentation flows through the platform.
After lunch youre in a room with the publishing and content platform leads working through a disagreement about where content validation should live in the architecture. Both teams have reasonable positions. You need to make a call that accounts for the current system constraints the target architecture and the migration path between them and then clearly communicate the rationale so both teams can execute.
Youll also spend time on the harder strategic questions. The organization is betting that AI agents will handle most routine content operations within 23 years. What does that mean for the systems were building today How do you architect for a future where the primary consumers of your APIs are AI agents not humans These arent theoretical questions they drive real resource allocation and design decisions every quarter.
About the team
TCX Engineering builds and operates the infrastructure behind AWS documentation the website publishing systems content automation AI authoring tools and the knowledge graph that connects it all. We serve millions of developers and are in the middle of a significant platform transformation driven by AI.
The organization has six engineering teams each led by a strong L6 engineer or manager. Whats missing is a principal engineer who can look across all six teams and drive technical coherence. Today each team makes sound local decisions but the cross-cutting architectural questions how data flows between systems where platform boundaries should be which components to consolidate versus keep separate need dedicated senior technical leadership.
The technical landscape is genuinely interesting. We operate at the intersection of content management publishing infrastructure knowledge graphs and applied AI. Our systems range from traditional build pipelines processing XML documentation to AI agents that generate API reference documentation from service models. The challenge is evolving this heterogeneous landscape into a coherent platform while keeping production systems running and delivering incremental value along the way.
We value engineers who form strong technical opinions based on evidence communicate them clearly and change their minds when presented with better information.
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
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 scop
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The fundamental question youll 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 isnt obvious and its changing fast. Youll operate in a space where the right architecture depends on assumptions about AI capabilities 23 years out where youre 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.
Key job 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 organizations 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 Engineerings technical perspective to senior leadership and partner organizations
A day in the life
our morning might start with a design review for the knowledge graph teams approach to ingesting content metadata youll need to assess whether their schema will support the agentic search use cases the AI team is planning for Q3 or whether theyre building something that will need to be reworked. After that youre working through the architectural implications of a partner teams integration proposal that would change how API reference documentation flows through the platform.
After lunch youre in a room with the publishing and content platform leads working through a disagreement about where content validation should live in the architecture. Both teams have reasonable positions. You need to make a call that accounts for the current system constraints the target architecture and the migration path between them and then clearly communicate the rationale so both teams can execute.
Youll also spend time on the harder strategic questions. The organization is betting that AI agents will handle most routine content operations within 23 years. What does that mean for the systems were building today How do you architect for a future where the primary consumers of your APIs are AI agents not humans These arent theoretical questions they drive real resource allocation and design decisions every quarter.
About the team
TCX Engineering builds and operates the infrastructure behind AWS documentation the website publishing systems content automation AI authoring tools and the knowledge graph that connects it all. We serve millions of developers and are in the middle of a significant platform transformation driven by AI.
The organization has six engineering teams each led by a strong L6 engineer or manager. Whats missing is a principal engineer who can look across all six teams and drive technical coherence. Today each team makes sound local decisions but the cross-cutting architectural questions how data flows between systems where platform boundaries should be which components to consolidate versus keep separate need dedicated senior technical leadership.
The technical landscape is genuinely interesting. We operate at the intersection of content management publishing infrastructure knowledge graphs and applied AI. Our systems range from traditional build pipelines processing XML documentation to AI agents that generate API reference documentation from service models. The challenge is evolving this heterogeneous landscape into a coherent platform while keeping production systems running and delivering incremental value along the way.
We value engineers who form strong technical opinions based on evidence communicate them clearly and change their minds when presented with better information.
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
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 scop
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at WA Seattle - 200100.00 - 270600.00 USD annually
Required Experience:
Staff IC
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