- Location
- Warsaw Grafit, Poland
- Type
- Full-time
- Department
- Engineering
- Education
- Master
- Source
- Workday
Description
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
In this role, you will be a key contributor to the AI Platforms and Services Team, helping to build and evolve Roche's internal AI Agentic Platform - a platform that enables teams to design, build, run, evaluate, and scale AI agents and agentic workflows across the enterprise.
You will work across the modern agentic AI technology stack, including agent orchestration, model integration, tool use, enterprise data access, retrieval-augmented generation, context engineering, agent memory, governance, observability, and feedback loops. Your work will help ensure that AI agents are grounded in trusted enterprise context, connected to the right systems and data, and operated in a secure, compliant, and scalable way.
You will design and implement AI powered workflows, automation pipelines, reusable agent components, and platform capabilities that integrate large language models, enterprise data, APIs, knowledge systems, workflow tools, and business applications. Your work will help developers, data scientists, and business teams rapidly create AI-enabled solutions using approved, reusable, and enterprise-ready patterns.
A critical part of the role will be creating reusable blueprints, templates, connectors, reference architectures, and developer examples that accelerate adoption of the platform. These assets will help internal teams build agentic AI solutions using recommended approaches for retrieval.
This is a hands-on engineering role for someone who enjoys building modern AI systems, working with emerging agentic frameworks, solving complex integration challenges, and enabling other teams through high-quality platform capabilities and technical guidance.
Description of the area
The AI Platforms and Services Team is responsible for building the foundational platforms, reusable services, and engineering capabilities that enable Roche teams to develop AI, GenAI, and agentic solutions at scale.
We focus on creating secure, compliant, AI-builder-friendly platforms that simplify the use of large language models, enterprise data, workflow automation, retrieval-augmented generation, model context integration, AI orchestration, and agentic software development patterns. Our mission is to accelerate AI adoption across Roche by providing robust platform capabilities, reusable engineering patterns, and best practices that help teams move from experimentation to reliable business value.
The person in this role will work in a modern Agentic AI platform environment that connects multiple layers of the enterprise AI stack, including models, tools, orchestration frameworks, data platforms, context services, governance capabilities, observability, and feedback loops.
The AI Agentic Platform is expected to enable teams to build agents that are not only powered by LLMs, but also grounded in trusted enterprise context. This includes access to business data, semantic metadata, knowledge systems, retrieval services, user and workflow context, agent memory, enterprise tools, and policy-aware integrations.
In a highly regulated healthcare environment, quality, security, compliance, observability, and responsible AI are essential. The team works closely with product owners, architects, AI engineers, data engineers, security experts, compliance teams, and business stakeholders to deliver platform capabilities that are technically strong, enterprise-ready, and easy to adopt.
Job Responsibilities
AI Agentic Platform Engineering
- Build and evolve platform capabilities that enable teams to design, run, monitor, and scale AI agents and agentic workflows.
- Develop reusable APIs, SDKs, connectors, templates, and developer tools for internal platform users.
- Contribute to platform architecture across orchestration, context, data access, governance, observability, and developer experience.
Agentic Workflows and Context Engineering
- Design AI-powered workflows using agent frameworks and orchestration tools such as AWS AgentCore, LangChain, LangGraph, n8n, Copilot Studio, CrewAI, or similar.
- Implement agentic patterns such as tool use, planning, routing, human-in-the-loop flows, memory, and multi-agent collaboration.
- Enable trusted enterprise grounding through RAG, semantic search, hybrid search, reranking, MCP connectors, knowledge systems, and enterprise APIs.
AI and Data Integration
- Integrate agents with enterprise data sources, APIs, document repositories, workflow tools, knowledge bases, and business applications.
- Collaborate with data engineers, AI engineers, and architects to ensure integration patterns are scalable, secure, compliant, and reusable.
- Support safe access to structured and unstructured data, metadata, business context, and enterprise tools.
Reusable Blueprints and Proofs of Value
- Create reusable blueprints, templates, reference architectures, and starter kits for common AI agent use cases.
- Build high-impact Proof-of-Value solutions with business teams to demonstrate platform capabilities and validate business value.
- Translate PoV learnings into reusable platform patterns, components, documentation, and adoption guidance.
Platform Enablement and Developer Experience
- Provide technical guidance, mentoring, and hands-on support to developers, data scientists, and business technologists using the platform.
- Improve developer experience by simplifying platform usage, reducing friction, and creating clear examples and onboarding materials.
- Share knowledge through documentation, demos, internal events, technical sessions, and communities of practice.
Quality, Security, Observability, and Continuous Improvement
- Apply software engineering best practices including testing, CI/CD, code review, documentation, monitoring, and maintainability.
- Implement secure, compliant, auditable, and responsible AI patterns for data access, tool use, agent behavior, and enterprise integration.
- Evaluate emerging agentic AI technologies and continuously improve platform capabilities, observability, evaluation, and feedback loops.
Qualifications
Education / Experience
- Hold a B.Sc., B.Eng., M.Sc., or equivalent degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a related field.
- Have 5-8 years hands-on on software engineering experience, ideally in AI, automation, cloud platforms, developer platforms, or enterprise application development.
- Have experience building AI-powered applications, GenAI solutions, workflow automations, or agent-based systems.
- Have an interest in AI and stay up to date with the latest advancements in agentic AI, LLM application development, data engineering, and AI platform engineering.
- Be team-oriented, proactive, collaborative, and comfortable working in a fast-paced, dynamic environment.
- Have strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
- Have excellent verbal and written communication skills.
- Be detail-oriented, organized, and focused on delivering high-quality engineering outcomes.
- Be willing to learn, experiment, and expand your skill set as AI technologies evolve.
- Be able to communicate in English at C1 level or higher.
- Have demonstrated experience acting as a technical mentor and sharing knowledge through technical sessions, demos, speeches, internal events, or communities of practice.
Technical Skills
Technical Core
- AI & Agentic Development: Experience building AI-powered applications using LLMs and frameworks such as LangChain, LangGraph, AWS AgentCore, Semantic Kernel, CrewAI, or similar.
- Workflow Automation: Familiarity with automation and orchestration tools such as n8n, Copilot Studio, Flowise, or similar.
- Programming: Strong skills in Python or JavaScript/TypeScript.
- Development: Experience with REST APIs, webhooks, microservices, connectors, and enterprise system integrations.
Data & Infrastructure
- AI Architecture: Familiarity with RAG architectures, embeddings, semantic search, vector databases, and context engineering patterns.
- Integration: Experience integrating AI solutions with enterprise data sources, knowledge bases, APIs, document repositories, and workflow tools.
- Cloud Platforms: Experience developing solutions on AWS and Azure; GCP is a plus.
- DevOps: Familiarity with Git, CI/CD, containers, and cloud-native deployment practices.
Nice to Have
- Experience with multi-agent workflows, agent memory, tool use, and human-in-the-loop patterns.
- Familiarity with MCP, semantic layers, data catalogs, metadata, or business glossary integration.
- Familiarity with AI evaluation, observability, tracing, guardrails, and feedback loops.
- Experience building developer platforms, reusable accelerators, internal tools, SDKs, or APIs.
Additional Qualifications
- Ability to work across product, architecture, platform, security, compliance, data, and business teams.
- Strong ownership mindset, with the ability to drive topics independently from idea to implementation.
- Ability to balance rapid experimentation with enterprise requirements for quality, scalability, security, and compliance.
- Comfort working in an emerging and fast-changing technology space where patterns, frameworks, and best practices are continuously evolving.
Compensation & Benefits
The expected salary range for this position, based on the primary location of Warsaw Grafit is 170’100.00 PLN - 315’900.00 PLN. Final compensation will be determined by a number of factors, including your skills, experience, qualifications, and location. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 15% subject to both individual and company performance.This position also offers an attractive benefits package.
Learn more about how we reward our employees at Roche.
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.
Skills
PythonJavaScriptTypeScriptAWSAzureGCPCI/CDData EngineeringGitRESTDevOpsMicroservicesCompliance
