Sr. AI Transformation Engineer

Roku•San Jose, CA

1d•$242,200 - $486,000•Hybrid

About The Position

Roku is seeking a Senior AI Transformation Engineer for its AI Enablement Team. The role drives end-to-end delivery of agentic AI systems that measurably improve how work gets done across Roku. The engineer embeds with business and technical teams—including Legal, FP&A, Accounting, Brand, Customer Support, and Engineering—to identify high-value opportunities for AI-powered automation and deliver production-grade solutions. The role owns the full lifecycle, from opportunity identification and scoping through system design, development, deployment, and adoption. It is a hands-on builder position requiring strong software engineering fundamentals, deep AI expertise, a product-oriented mindset, autonomy, and the ability to navigate ambiguity and complex organizational dynamics. The engineer will reimagine functions as AI-native, agent-powered systems, drive change management so solutions are trusted and used, and contribute reusable patterns to Roku's broader AI platform strategy.

Requirements

At least 5 years of software engineering, full-stack engineering, or technical deployment experience, with a record of shipping production systems.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Strong software engineering fundamentals and ability to write and ship production-grade code, such as Python and/or JavaScript/TypeScript.
Hands-on experience building or deploying systems powered by LLMs, generative models, or agentic frameworks.
Ability to thrive in ambiguity, decompose open-ended problems into workstreams, and make sound trade-offs under pressure.
Experience working directly with non-technical teams and stakeholders, translating business needs into technical solutions and communicating clearly with executive audiences.
Track record of building solutions that achieve adoption and measurable impact.
Strong product sense and a bias toward outcomes over output.
High autonomy and ownership, with the ability to drive decisions and deliver independently in fast-moving environments.
Experience with modern AI engineering patterns such as RAG, prompt engineering, agent orchestration, tool use, human-in-the-loop controls, model evaluation, and MLOps/LLMOps.
Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and CI/CD practices.
Experience with modern data architectures and relational databases.

Nice To Haves

Fluency with the agentic engineering toolchain, such as coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks.
Examples of shipping real work with agentic engineering tools, verifying agent output, and using an agent to ramp up on an unfamiliar codebase.

Responsibilities

Drive AI deployments from discovery and scoping through system design, development, and production rollout, owning outcomes end to end.
Embed with business and technical teams to diagnose problems and identify high-value opportunities for agentic automation.
Prepare clear scopes of work and pragmatic project plans for prototypes and production deployments, making trade-offs on scope, priority, and quality.
Design, build, test, and deploy production-grade agentic AI applications and integrations, moving from prototype to live systems in short cycles.
Reimagine entire functions as AI-native, agent-powered systems, going beyond individual task automation.
Connect solutions to Roku data platforms, internal systems, and enterprise APIs across complex data sources, pipelines, and metric layers.
Lead onboarding, enablement, and change management; iterate on user feedback until solutions are trusted and actively used.
Define and track success through production adoption, workflow impact, and measurable business value.
Collaborate with embedded AI Ambassadors, mentor teammates, and flex across functions, domains, and initiatives as priorities evolve.
Codify reusable patterns and field learnings into Roku's broader AI platform strategy.