You will shape developer experience and enterprise-wide adoption of Roche’s AI offerings. The role leads the delivery of reference architectures and reusable blueprints, and connects AI/ML and agentic technologies with business use cases.
Education & Experience:
10+ years of hands-on software engineering experience, with demonstrated leadership in developer platforms, enterprise environments, and reusable software assets.
Proven experience driving developer enablement, leading technical consultancies, and connecting complex AI platform technologies with business adoption.
AI expertise and a track record of driving innovation and adoption of emerging AI technologies.
Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
Demonstrated success in senior architecture roles, cross-functional team leadership, and mentoring engineering talent.
Strong background in software development or platform engineering, including coding and evaluating end-to-end architecture and CI/CD pipelines.
Hands-on experience with modern software development processes using AI coding assistants.
Communication & Mindset:
Strong written and verbal English communication skills (C1/C2), including the ability to explain complex technical concepts to diverse audiences.
Continuous learning, knowledge sharing, and technical leadership.
Platform-first mindset, with the ability to educate and engage non-technical audiences across management levels.
Cross-organizational collaboration and stakeholder management skills.
Ability to improve and simplify processes, standards, and practices.
Experience measuring operational impact and platform adoption through quantitative metrics.
Scope & Content Leadership:
Set the strategic technical direction for user experience, enablement platforms, and user adoption journeys for AI offerings across the enterprise.
Blueprints & Reference Architectures:
Author production-ready blueprints, starter kits, and unified platform interface components that abstract infrastructure complexity and accelerate AI solution delivery.
Technical Consultancies & Enablement:
Lead technical consultancy sessions, evaluate complex use cases, guide architecture selection, and mentor engineering and power-user communities.
Impact & Adoption Strategy:
Translate field insights and developer feedback into structured inputs for the core platform engineering roadmap.
Quality, Compliance & Security:
Embed responsible AI guardrails, security best practices, and GxP validation compliance into reusable platform accelerators and developer workflows.
Stakeholder Alignment & Community Evangelism:
Partner with leaders across Product, Security, Quality, and Business domains to foster collaboration and technical community engagement.
Developer Community of Practice & Excellence:
Drive developer community engagement, establish best practices, standardize software delivery frameworks, and cultivate technical leadership across teams.
Asset Creation & Modularity:
Identify opportunities for modular enablement frameworks and reusable assets.
Strategic Business Partnering:
Promote the AI Tech Offering (aITO) to drive adoption and alignment across enterprise teams.
Annual performance-based bonus.
Dedicated budget for training, certifications, and conferences.
Recharge Fridays: two Fridays off per quarter.
Take Time Program: up to three months of leave for any purpose.
Vacation subsidy.
Flex Location: possibility to work from different places in the world for a certain period.
Up to two weeks of additional paid leave for charity work.
Private healthcare, group life insurance, and Multisport.
