AI/ML Solution Architect - RDT Global Products & GPS

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
AI and ML architect for Commercial Content Supply Chain
Purpose of the role
Join us and help rethink the way our organization engages with customers! We are seeking a highly skilled and experienced AI/ML Architect to join our team, focusing on
the strategic design and implementation of advanced AI solutions.
This role is central to creating a cutting-edge, AI-enabled content supply chain, spanning from Medical Affairs through Commercial Marketing. The successful
candidate will possess a profound foundation in AI/ML and MLOps, coupled with deep expertise
in software architecture, data science, and the unique challenges of content generation and
analytics in a regulated environment. This individual will be a key technical leader, driving our AI
initiatives, setting architectural standards, and ensuring the successful operationalization of data
science solutions that deliver significant, measurable business value across the organization.
Job Responsibilities
Content Leadership: Designs solutions that meet product requirements, business priorities, and enterprise standards within a specific Solution Context. Manages Non-Functional Requirements (NFR) and fitness functions. Documents and evolves the architecture throughout the product life cycle and aligns with the architecture community for governance.
Own the AI Systems Architecture: design and refine our multi-agent pipelines (using AWS building blocks, Bedrock AgentCore, and orchestration frameworks like LangGraph or Strands)
Partner with upstream data teams: work with data warehouse and analytics teams to turn complex models into high-performance, application-ready read interfaces and semantic caching layers
Collaborate on platform standards: partner with other architects and engineering leads to evaluate technical trade-offs and establish consistent patterns across services
Prioritize value over hype, focus on developer and user experience: ensure the backend architecture actually makes daily work simpler and faster for internal teams and creators, rather than introducing operational drag
Enterprise platforms and standards: ensure smooth integrations with enterprise platforms and services, track the enterprise standards, guidelines and recommendations and ensure our compliance, be the feedback-loop driver - to make us also shape the enterprise architecture and solutions
SDLC practices and security discipline, while recognizing that team alignment and clear communication often matter more than the tools themselves
Qualifications
7+ years of hands-on programming experience
Proficient with technologies: git, github actions, docker, AWS, Python
Solid background designing and running distributed backend systems in cloud environments (AWS, working with containers, managed datastores, serverless components, and message queues)
Direct experience with LLM orchestration and agent frameworks (preferable LangGraph and / or Strands). You understand the practical issues that crop up in production, as well as AI-specific security risks
Experience with agentic-adjacent tools and solutions - MCP servers, agent memory management, agentic identity and access control, observability tools (e.g. LangSmith or LangFuse)
Understand the trade-offs between relational databases, document/key-value stores, and in-memory caches, and choose tools based on access patterns rather than habit or hype
Practical integration experience. You’ve built and consumed APIs across different team boundaries, and you understand the realities of network limits, caching strategies, and eventual consistency
Clear communication - be the bridge between technical and non-technical folks. You can explain a technical trade-off plainly to product managers, debate implementation details constructively with engineering peers, and align different teams without drama.
A strong bias for simplicity. You prefer straightforward architectures that run predictably in production over clever designs that require constant babysitting.
Experience working in regulated industries (pharma or healthcare) with an understanding of compliance by design, audit trails, and strict data residency/privacy requirements is nice to have
What you get:
Competitive salary based on the employment contract (Umowa o pracę).
Annual bonus payment based on your performance.
Dedicated training budget (training, certifications, conferences, diversified career paths etc.).
Recharge Fridays (2 Fridays off per quarter available).
Take time Program (up to 3 months of leave to use for any purpose).
Vacation subsidy available.
Flex Location (possibility to perform our work from different places in the world for a certain period of time).
Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).
Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.
Stock share purchase additions.
Yearly sales of company laptops and cars and many more!
Ready to shape the future of healthcare with us?
Apply now and submit your CV - let's talk about what we can build together! If you feel this offer suits a friend of yours, feel free to share it.
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Skills
Python, HTML/CSS, Git, AWS, Docker, LLM