Senior AI Transformation Engineer

Roku • Austin, TX

2h • $242,200 - $486,000 • Hybrid

About The Position

Roku is seeking a Senior AI Transformation Engineer to join its AI Enablement Team and drive end-to-end delivery of agentic AI systems that measurably transform work across the company. The role embeds directly 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 engineer owns the full lifecycle, from identifying and scoping opportunities through system design, development, deployment, and adoption. This is a hands-on, self-directed builder role requiring strong software engineering fundamentals, AI expertise, product orientation, and the ability to navigate ambiguity and complex organizational dynamics. The focus is on measurable business impact and adoption, not demos. The role also reimagines how functions can operate as AI-native, agent-powered systems and contributes reusable patterns to Roku’s broader AI platform strategy.

The position is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. For California only, the estimated annual base salary is $242,200–$486,000. Compensation depends on factors including skills, certifications, and geographic location.

Roku generally follows a hybrid work approach, with teams working in the office Monday through Thursday and Fridays generally flexible for remote work. Some roles or office locations may require five days of in-office attendance.

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 amid ambiguity, break 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 make 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.

Responsibilities

• Drive AI deployments from discovery and scoping through system design, build, and production rollout, owning outcomes end to end.
• Embed with business and technical teams to diagnose problems, including those not yet clearly articulated, and identify high-value opportunities for agentic automation.
• Prepare clear scopes of work and practical project plans for prototypes and production deployments, making real-time trade-offs across scope, priority, and quality.
• Design, build, test, and deploy production-grade agentic AI applications and integrations, moving from prototype to live system in short cycles.
• Reimagine entire functions as AI-native, agent-powered systems, beyond automating individual tasks.
• Connect solutions to Roku’s data platforms, internal systems, and enterprise APIs, working across complex data sources, pipelines, and metric layers.
• Lead onboarding, enablement, and change management for teams; use feedback to make solutions 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 work across functions, domains, and initiatives as priorities evolve.
• Codify reusable patterns and lessons learned into Roku’s broader AI platform strategy and shared capabilities.

Benefits

• Health insurance, including medical, dental, and vision where available
• Equity awards
• Life insurance
• Disability benefits
• Parental leave
• Wellness benefits, including access to mental health and financial wellness resources
• Paid time off in accordance with local leave policies
• Commuter benefits where available
• Retirement options, including 401(k) or pension where available

What This Job Offers

• Job Type: Full-time
• Career Level: Senior