OpenAIRemote · San Francisco$401k-$536kjust now
RochePosted 3mo ago
(Sr) AI Engineering Consultant at Roche scores 68 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
Job Summary:
Serving as the Lead Architect of AI Transformation, this role is the visionary and technical engine behind redefining how the organization builds software. Much like a technical evangelist and researcher, you will bridge the gap between "Research AI" and "Applied AI Engineering." Your mission is to revolutionize the engineering lifecycle through AI, establish world-class methodologies for AI-native product development, and act as a high-impact coach to transition the entire engineering team into an AI-augmented powerhouse. You will ensure we don't just "use AI," but fundamentally change how we engineer for the future.
The Opportunity:
AI-Driven Engineering Transformation
Methodology Research: Deeply research and define the next generation of software engineering workflows (e.g., Software 2.0, Agentic Workflows, AI-assisted coding architectures).
Process Redesign: Diagnose existing engineering bottlenecks and deploy AI tools/frameworks to automate and optimize the SDLC (Software Development Life Cycle), achieving radical efficiency gains.
Evolutionary Catalyst: Serve as a "Strategic Catalyst" to steer the engineering culture toward an AI-Native mindset.
Product Engineering & AI Integration
AI Engineering Excellence: Design and oversee the implementation of robust, scalable AI engineering patterns (LLMOps, RAG architectures, and fine-tuning pipelines) to bring AI capabilities into the core product portfolio.
Agile Prototyping: Rapidly translate the latest breakthroughs in AI research (from multi-modal models to reasoning-step optimizations) into production-ready features with an agile, hands-on approach.
Technical Interpretation: Translate complex algorithmic logic and technical constraints into actionable business roadmaps and product strategies.
Capability Building & Knowledge Hub
Master Educator: Design and lead high-level AI training programs for senior engineers and architects, focusing on Prompt Engineering, model evaluation, and AI-native architecture.
AI Knowledge Hub: Build and iterate an enterprise-level repository of AI best practices, reusable code patterns, and internal benchmarks to ensure consistent technical excellence.
Talent Coaching: Mentor engineering leads on how to leverage AI to scale their own teams’ output and creative capacity.
Who you are:
Education & Qualifications
Master’s or PhD in Computer Science, AI, Mathematics, or a related quantitative field.
A proven track record of open-source contributions or technical thought leadership in the AI space.
Experience
5+ years of senior engineering experience, with at least 3+ years specifically focused on deploying AI/ML systems at scale.
Experience in Digital Transformation or leading large-scale engineering team transitions is highly preferred.
Professional Capabilities/Skills
AI Technical Mastery: Deep expertise in LLMs, Generative AI frameworks (LangChain, LlamaIndex), and modern AI infrastructure (GPU orchestration, vector databases).
Engineering Methodology: Strong opinions, weakly held, on software architecture, clean code in the age of AI, and "Human-in-the-loop" engineering systems.
Business Acumen: The ability to match bleeding-edge AI capabilities with specific market pain points and IVD/Tech business scenarios.
Soft Skills: Exceptional cross-functional communication and "Change Management" capabilities—the ability to inspire a team to unlearn old habits and embrace new paradigms.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you decide that one model's output is better than another's for a given task?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, Rag, AI Agents, Fine Tuning, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI engineer jobs at AI Level 3+ by email
One email a week with the new AI engineer jobs at AI Level 3+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles rated AI Level 3 at other companies.
DatabricksStockholm, Sweden3h ago
DeepJudgeZurich HQ4h ago
Axelera AIRemote · Hybrid/Remote - Europe (incl. UK)5h ago
NotionDublin, Ireland5h ago
LegoraStockholm HQ7h ago
SnowflakeIN-Pune12h ago
NscaleAPAC; Singapore14h ago
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step





