Technical Advisor & Architect, AI-Driven User Experiences (Boston Office)

About the Job

We're seeking an exceptionally talented and visionary Technical Advisor & Architect, AI-Driven User Experiences to join our leadership team. This is a critical role for an individual who thrives on pioneering the architecture and development of sophisticated AI-driven solutions that directly enhance how users interact with our products and systems. Reporting directly to the VP of User Experience Engineering, you will be instrumental in defining our strategy for intelligent user experiences, ensuring AI is seamlessly woven into our digital products, applications, platforms, services and internal tooling.

What You Will Do

• Drive AI-Powered User Experiences: Define and champion the long-term technical vision and architectural strategy for integrating AI into our digital products, user-facing applications, underlying platforms, backend services and internal tooling, ensuring these AI integrations create intuitive, personalized and highly efficient user experiences

• Identify and Prioritize AI Use Cases: Collaborate closely with Product Management, UX Design, Engineering groups and business stakeholders to discover, validate and prioritize high-impact AI use cases across various user journeys and operational workflows

• Architect Intelligent Systems: Lead and provide technical direction in the design and evolution of our software architecture to support scalable and resilient AI integrations, including defining patterns for data pipelines, model deployment, inference at scale and feedback loops for continuous AI improvement

• AI/ML Model Integration & Orchestration: Provide deep expertise in effectively integrating and orchestrating diverse AI/ML models (e.g., LLMs, recommender systems, predictive analytics) into existing and new software components, ensuring seamless data flow and interaction between AI models and application logic

• Enhance Platform & Services with AI: Guide the strategic enhancement of our core platforms and shared services by embedding AI capabilities (e.g., intelligent search, personalized content delivery, automated anomaly detection, smart routing) that can be leveraged by multiple applications

• Optimize Internal Tooling with AI: Identify opportunities to leverage AI to dramatically improve internal operational efficiency, developer productivity and data analysis through smart automation and predictive insights within our internal tooling ecosystem

• Technical Mentorship & Development: Act as a leading mentor and coach for Principal, Staff and Senior AI/ML Engineers, fostering a culture of cutting-edge AI best practices, responsible AI development and continuous exploration of new AI paradigms

• Innovation & Research: Continuously identify, evaluate and prototype emerging AI technologies, frameworks and architectural patterns, championing the adoption of new approaches that offer significant strategic advantage in creating intelligent and adaptive experiences

• AI Ethics & Governance: Contribute to the definition and enforcement of ethical AI principles and governance best practices, building transparency and accountability in all AI-driven features and ensuring compliance with government regulations, security frameworks and data sovereignty requirements

What You Will Bring

• 10+ years of progressive experience in software engineering, with at least 5+ years in a Principal Engineer, Staff Engineer or equivalent senior technical leadership role, demonstrating significant impact on large-scale, complex systems

• Demonstrated experience designing and deploying mission-critical systems with high availability (HA) and disaster recovery (DR) requirements, particularly for applications with a C1 or equivalent "most critical" classification

• Proven track record of defining and driving architectural patterns for AI applications, including strong understanding of LLM integration, data strategy for AI and model operationalization (MLOps), architecting solutions that address data sovereignty requirements in a global, multi-cloud context

• Mastery of multiple programming languages commonly used in AI/ML (e.g., Python, Java, Go) and extensive experience with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain, Hugging Face)

• Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP) and architecting AI workloads for cloud-native, distributed environments

• Exceptional problem-solving skills with ability to navigate the unique challenges of AI integration, analyze trade-offs and arrive at pragmatic solutions for production environments

• Outstanding communication skills (written and verbal) to articulate complex AI and architectural concepts to diverse audiences, from deep technical experts to executive leadership and product teams

• Strong leadership qualities including empathy, intellectual curiosity and ability to inspire and empower pioneering technical work

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence or a related quantitative field, or equivalent practical experience

The following will be considered a plus:

• Experience with advanced UX patterns for AI (e.g., adaptive UIs, conversational interfaces, proactive recommendations)

• Knowledge of Responsible AI principles and their implementation

• Contributions to relevant open-source AI projects or publications

• Experience in optimizing AI inference for performance and cost

#LI-HM1

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
●    Comprehensive medical, dental, and vision coverage
●    Flexible Spending Account - healthcare and dependent care
●    Health Savings Account - high deductible medical plan
●    Retirement 401(k) with employer match
●    Paid time off and holidays
●    Paid parental leave plans for all new parents
●    Leave benefits including disability, paid family medical leave, and paid military leave
●    Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! 

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. 

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.