ABOUT THE ROLE

Build and mature the shared AI platform that MediaCloud teams use to deliver AI-enabled products and workflows, with a strong early focus on agentic workflow capabilities. This senior individual contributor role turns early AI patterns and pilot implementations into reusable, observable, governed platform capabilities that other engineering teams adopt.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Build shared agentic workflow components, orchestration primitives, and integration services used across MediaCloud teams.
• Design the platform for modularity so individual agents, models, frameworks, and tools can be swapped as AI tooling evolves.
• Implement platform standards for model access, prompt and workflow versioning, evaluation, observability, and reliability.
• Build on AWS AI and data services (Bedrock, SageMaker, Transcribe, Rekognition, S3, Lambda, ECS/EKS) as the preferred runtime surface.
• Partner with the Staff AI Solutions Engineer to decide what belongs in the shared platform and what stays team-owned.
• Support pilot and early-adopter teams by shipping reusable platform capabilities they can build on directly.
• Contribute to evaluation, telemetry, and support patterns so platform usage is measurable and supportable.
• Translate AI strategy into concrete technical implementation, with strong opinions on APIs, interfaces, and integration contracts.
• Use AI agentic workflows and code-generation tools as the primary way to produce code, and set the review bar for code that ships.
• Document platform capabilities so any engineer on the team can operate and extend them.
  

WHAT YOU WILL NEED

• Hands-on experience using AI agentic workflows and AI code-generation tools (for example, Claude Code, Cursor, or equivalent) as the primary way to produce code. Treats code review as a first-class discipline — reviews AI-generated and human-written code with equal rigor, spots subtle correctness, security, and maintainability issues, and holds a high bar on what ships.
• Strong software engineering background, ideally in platform engineering, developer tooling, or shared internal systems.
• Production experience on AWS, with working knowledge of AWS AI and data services (Bedrock, SageMaker, Transcribe, Rekognition, S3, Lambda, ECS/EKS).
• Experience designing and operating APIs, workflow orchestration, and service integrations at production scale.
• Working knowledge of AI-enabled applications, LLM-based systems, agentic workflows, or applied automation.
• Track record of designing systems for change — swappable components, clear interfaces, upgrade paths — so the platform absorbs new AI tooling as it emerges.
• Track record leading complex technical work that spans multiple teams.
• Strong judgment on reliability, observability, maintainability, and cost.
• Clear written communication. Comfortable defining technical direction in writing for other senior engineers.

NICE TO HAVE, BUT NOT A DEALBREAKER

• Experience in media, broadcast, or content-heavy environments.
• Experience shipping vector search and retrieval systems (Chroma, OpenSearch, pgvector, etc.).
• Experience building or operating agentic frameworks (tool-use, planning, multi-step orchestration).
• Experience integrating multiple model providers behind a common interface.

What Good Looks Like

• At least one reusable agentic workflow capability is in active production use on AWS, adopted by more than one team.
• Platform components are modular — the team swaps models, frameworks, or agent tools as better options appear, with minimal disruption to partner teams.
• Platform patterns are documented, adopted, and reduce duplicate implementation across teams.
• AI workflows running on the platform are observable, supportable, and meet reliability targets.
• Partner teams build on shared capability and extend it for their own use cases.
• AI-generated code that ships through this role meets the same quality bar as hand-written code.

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Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-190,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.