As a Knowledge Engineer, your role is to help transform a complex and evolving technical ecosystem into something engineers can successfully navigate, understand, and build on top of.
You will be a founding member of the Builder Enablementteam at the intersection of architecture, engineering, and enablement - partnering with architects and builders to capture not just what systems exist, but how they fit together, why they work the way they do, and how other teams can effectively use them.
This is not a traditional documentation role, although you will be responsible for Technical Writing. You won’t simply document decisions after they’re made - you’ll help shape how technical knowledge is structured, communicated, and consumed across the organization. That means asking the right questions, identifying missing context, and turning fragmented information into clear, actionable understanding.
Your output may take many forms: architecture narratives, onboarding guides, technical playbooks, diagrams, knowledge maps, or AI-friendly documentation structures. The goal is always the same: reduce ambiguity, improve discoverability, and help engineers move effectively through complex systems.
As AI becomes an increasingly important interface for engineering work, you’ll also help ensure our technical knowledge is organized and expressed in ways that are consumable not just by humans, but by intelligent tooling and agent-based workflows as well.
Part technical writer, part information architect, part systems translator: you’ll help create the connective tissue that turns architecture into shared understanding.
Responsibilities:
Partner with architects, engineers, and platform teams to capture and communicate:
System architectures and interactions
Engineering patterns and implementation approaches
Platform capabilities and constraints
The reasoning and tradeoffs behind technical decisions
Create and maintain clear, consumable technical artifacts such as:
Architecture overviews
Technical narratives and roadmaps
Reference documentation
Knowledge maps and information hierarchies
Engineering onboarding and enablement materials
Conduct interviews, workshops, and collaborative discovery sessions with engineering teams to extract institutional knowledge and translate it into reusable understanding
Help structure technical information in ways that are:
Easy for engineers to navigate and apply
Consistent across related systems and domains
Increasingly consumable by AI-assisted tooling and agent-based workflows
Work with Builder Enablement architects and engineers to transform evolving architectural concepts into practical, actionable guidance for development teams
Identify ambiguity, gaps, or fragmentation in technical knowledge and proactively improve clarity, discoverability, and consistency across engineering artifacts
Create lightweight diagrams, workflows, and visual representations that improve comprehension and system understanding, prioritizing clarity and usability over presentation polish
Help ensure that architectural guidance, standards, and paved paths are clearly articulated, internally consistent, and practically adoptable
Leverage modern AI tools and workflows to accelerate knowledge synthesis, organization, and maintenance
Act as a steward of engineering knowledge and information hierarchy, helping ensure that teams can effectively discover, understand, and apply shared architectural guidance over time
Bachelor’s degree in Computer Science, Engineering, Technical Communication, or a related field, or equivalent practical experience. You will likely need 5+ years of professional experience to be successful in this role.
Strong understanding of how modern engineering organizations design, build, deploy, and operate software systems
Experience as a software engineer, systems engineer, platform engineer, solutions architect, technical writer, or similar role involving deep engagement with technical systems
Proven ability to translate complex technical systems and architectural concepts into clear, structured, and useful documentation or knowledge artifacts
Demonstrated ability to work across engineering, architecture, platform, and product teams to synthesize information from multiple perspectives
Strong systems-thinking skills and the ability to understand relationships across services, platforms, and organizational boundaries
Familiarity with modern engineering ecosystems, including:
Cloud platforms and distributed systems
APIs and service-oriented architectures
CI/CD and developer workflows
Infrastructure-as-code and platform engineering concepts
Strong written communication skills with a focus on clarity, structure, audience awareness, and practical usability
Ability to ask thoughtful questions, identify missing context, and help teams clarify and communicate technical concepts effectively
Comfort operating in evolving environments where systems, processes, and organizational structures may still be emerging
Familiarity with modern AI-assisted workflows and the ability to leverage AI tools to support technical writing, knowledge synthesis, organization, and discoverability
A strong focus on usefulness and enablement—creating artifacts that help engineers make decisions and move effectively through complex technical environments
Strong organizational instincts and attention to information hierarchy, discoverability, and long-term maintainability
Deep curiosity about how systems fit together and how technical knowledge can be made more understandable, navigable, and actionable
We recognize that strong candidates may not meet every qualification listed above. If you have relevant experience helping engineers understand and navigate complex technical systems, we encourage you to apply.
Desired Characteristics:
Experience supporting platform engineering, developer enablement, enterprise architecture, or internal engineering ecosystems
Experience building or scaling engineering knowledge systems, internal documentation frameworks, or technical enablement programs
Experience creating technical narratives, architectural overviews, or onboarding materials for both technical and cross-functional audiences
Familiarity with agent-friendly documentation structures, semantic knowledge organization, or AI-assisted developer experiences
Ability to create lightweight diagrams and visual representations that improve understanding of systems and workflows
Strong intuition for what makes technical guidance genuinely useful, discoverable, and adoptable for engineers
Experience working in large, federated engineering organizations with many interconnected systems and teams
Comfort navigating ambiguity and helping create clarity in fast-moving or evolving technical environments
Experience collaborating closely with architects, platform teams, and engineers to shape how technical knowledge is communicated and consumed
Background balancing technical depth with accessibility, helping bridge the gap between engineering implementation details and broader organizational understanding
Additional Requirements:
Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $140,000 - $165,000 (bonus eligible)
We are accepting applications for this position on an ongoing basis.
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
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