Technical Architect - Business ApplicationsRoku, Inc. • Boston, Massachusetts, United States
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Technical Architect - Business Applications
Roku, Inc.
- Boston, Massachusetts, United States
- Boston, Massachusetts, United States
À propos
For Massachusetts only – the estimated annual salary for this position is between $250,000 and $450,000. Compensation includes health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
Develop and oversee the technical strategy for the platform that supports diverse business applications.
Drive the AI‑native transformation of Roku’s advertising business operations, identifying high‑leverage opportunities and influencing roadmap, architecture, and system design across multiple teams.
Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing high‑impact solutions.
Work closely with advertising business stakeholders to identify needs, surface high‑impact opportunities, and translate operational pain points into ML and agentic AI solutions.
Design and ship production ML and agentic systems end‑to‑end, including recommendation, personalization, ranking, forecasting, anomaly detection, and multi‑agent workflows embedded directly within product and operational systems where they drive decisions.
Apply GenAI and LLMs to create measurable value, building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, focusing on reliability and outcomes over hype.
Translate ambiguous business problems into production solutions by partnering with engineers, data scientists, product managers, and business teams.
Build and operationalize evaluation loops covering precision, recall, calibration, drift detection, human‑in‑the‑loop systems, and define dashboards and Service Level Objectives (SLOs) that tie model performance to business outcomes.
Provide technical leadership across the broader ML and AI surface area, raising the bar for engineering rigor, mentoring engineers, and shaping how the organization thinks about AI‑native systems.
We’re excited if you have
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 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 – classification, regression, clustering, anomaly detection, ranking, forecasting, recommendation, and NLP.
Deep understanding of ML fundamentals: feature engineering, model evaluation, bias‑variance trade‑offs, 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 and operational platforms.
Demonstrated technical leadership, influencing architecture and technical direction across teams, mentoring engineers, and driving execution in ambiguous environments.
Experience in advertising, marketplaces, e‑commerce, travel, or similar data‑rich, decision‑driven platforms is a strong plus.
Benefits
Health insurance (medical, dental, and vision)
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off (PTO)
Hybrid work option with in‑office days Monday through Thursday and remote Fridays
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Compétences linguistiques
- English
Avis aux utilisateurs
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