Technical Architect - Business Applications

About the role

Roku Advertising powers a multi-billion-dollar business and operates at the scale of one of the largest CTV advertising platforms in the US. We are looking for a Technical Architect to drive the next evolution of how Roku’s advertising business applications operate, partnering closely with advertising business stakeholders, product, architecture, and engineering teams to transform operational workflows using machine learning, GenAI, and agentic AI systems.

Responsibilities

• Drive the AI-native transformation of Roku’s advertising business applications, identifying high-leverage opportunities and contributing to roadmap, architecture, and system design across multiple teams.
• Work closely with advertising business stakeholders to identify operational challenges, simplify complex workflows, and translate business pain points into scalable AI and agentic system solutions.
• Design and deliver production-grade AI systems end-to-end, including recommendation, ranking, forecasting, anomaly detection, workflow automation, and multi-agent or agent-to-agent orchestration embedded directly within operational platforms and business applications.
• Apply GenAI and LLM technologies where they create measurable value, including RAG pipelines, prompt orchestration, evaluation frameworks, memory-aware systems, and guardrails, with a focus on reliability, scalability, and operational outcomes over hype.
• Partner deeply with engineers, data scientists, product managers, architects, and business teams to translate ambiguous operational problems into practical production solutions that drive measurable business impact.
• Build evaluation and observability frameworks covering precision and recall, calibration, drift detection, human-in-the-loop systems, operational metrics, dashboards, and SLOs that connect AI system performance to business outcomes.
• Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing pragmatic, high-impact solutions.
• Provide technical leadership within the broader AI and engineering ecosystem, influencing architecture, mentoring engineers, and helping establish engineering best practices for AI-native application development.

Requirements

• Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
• 8+ years of hands-on software engineering experience building and scaling large enterprise business applications and operational platforms, with recent experience applying AI, GenAI, and agentic systems within production enterprise environments.
• Proven experience building and scaling production AI systems, including LLMs, RAG architectures, embeddings, retrieval systems, workflow orchestration, and multi-agent or agent-based architectures.
• Strong foundation in machine learning and statistical modeling techniques, including classification, regression, clustering, anomaly detection, ranking, forecasting, recommendation systems, and NLP use cases.
• Deep understanding of machine learning fundamentals, including feature engineering, model evaluation, bias-variance tradeoffs, offline vs. online metrics, and production monitoring.
• Strong software engineering, architecture, and system design skills, with experience building reliable, scalable, and maintainable enterprise business applications, workflow-driven systems, and operational platforms.
• Demonstrated technical leadership, including influencing architecture and technical direction across teams, mentoring engineers, and driving execution in ambiguous environments.
• Experience in advertising, marketplaces, e-commerce, travel, or similar operationally complex, data-rich platforms is a strong plus.

Qualifications

• Experience in AI, GenAI, and agentic systems within production enterprise environments.
• Strong foundation in machine learning and statistical modeling techniques.
• Experience in designing and delivering production-grade AI systems.
• Experience in working with advertising, marketplaces, e-commerce, travel, or similar operationally complex, data-rich platforms.

Skills

• Strong foundation in machine learning and statistical modeling techniques.
• Experience in designing and delivering production-grade AI systems.
• Experience in working with advertising, marketplaces, e-commerce, travel, or similar operationally complex, data-rich platforms.

Benefits

• Health insurance
• Equity awards
• Life insurance
• Disability benefits
• Parental leave
• Wellness benefits
• Paid time off