At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Senior AI Engineer
The Mission
Enterprise data is everywhere – locked in databases, buried in PDFs, scattered across unstructured documents, and hidden in siloed systems. You will be at the heart of Bayer Consumer Health‘s most ambitious AI initiative: building a suite of intelligent, production-grade AI solutions that make data and documents accessible, queryable, and actionable for everyone in the organization. From conversational interfaces over complex enterprise data, to AI pipelines that parse documents and extract structured meaning from chaos – you will design, experiment with, and ship systems that genuinely change how a global consumer health company operates. This is a greenfield, research-meets-engineering role, and the architectural decisions you make will echo across commercial, marketing, product supply, and R&D domains worldwide.
Who You Are & What You‘ll Do
The Agentic AI Builder: You design and implement multi-agent AI systems in Python – routers, planners, verifiers, supervisors – and you know when to add complexity and, crucially, when not to. You build composable, plug-and-play agent architectures using LangGraph and LangChain that can evolve as LLM capabilities advance and business needs shift.
The Document Intelligence Engineer: You turn unstructured chaos into structured gold. You build AI pipelines that parse PDFs, Word documents, images, and mixed-format files – extracting, normalizing, and validating structured information at scale. You know your way around OCR, document layout models, and LLM-powered extraction chains.
The RAG Architect: You know that great AI answers live or die by the quality of context retrieval. You design and implement Retrieval-Augmented Generation pipelines over both unstructured document corpora and structured metadata – business glossaries, data dictionaries, and enterprise knowledge bases – applying dynamic filtering and re-ranking to stay accurate without blowing token budgets.
The Text-to-SQL Specialist: You are deeply familiar with the challenges of natural language to SQL generation – ambiguous questions, multi-turn conversations, schema linking, self-correction loops, and context injection. You build conversational data interfaces that are accurate within defined scope and degrade gracefully outside it.
The Evaluator: You instrument everything. You build automated regression testing frameworks, support A/B testing of LLM configurations, and integrate human feedback loops to drive continuous quality improvement across all AI products you ship.
The Business Partner: You speak both Python and business. You engage closely with stakeholders across commercial, marketing, product supply, and R&D to deeply understand their problems before writing a single line of code. You know that the best AI solution is the one that solves a real business problem – and you take pride in bridging the gap between cutting-edge AI engineering and tangible business value.
The Platform Builder: You don‘t just solve one problem – you build reusable frameworks, components, and libraries that accelerate the entire AI engineering team. You manage production-grade code in GitHub, perform peer reviews, and contribute meaningfully to architectural decisions including framework and technology stack selection.
What You Bring
Nice-to-Have
Why This Role Is Different
�� Greenfield impact – you are building foundational AI capabilities from scratch across multiple high-value problem domains, not maintaining legacy systems
�� Real research component – you will be answering open architectural questions that genuinely matter, running structured experiments and communicating trade-offs clearly to stakeholders
�� Organisation-wide reach – the platforms you build will serve diverse business personas across commercial, marketing, product supply, and R&D in a global consumer health company
�� Cutting-edge stack – multi-agent orchestration, document intelligence pipelines, compound AI systems, and LLM-powered data interfaces at enterprise scale
�� A team that invests in you – career development, coaching, mentoring, knowledge-sharing, and a modern Warsaw office with a team that spans Poland and Germany
What do We offer:
You feel you don‘t meet every criterion? That doesn‘t mean you aren‘t the right fit. Apply with confidence – we value potential over perfection.
WORK LOCATION: WARSAW AL.JEROZOLIMSKIE 158
YOUR APPLICATION
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.
Location:
Poland : Mazowieckie : Warszawa
Division:
CH Data Assets, Analytics & AI
Reference Code:
865586
Location:
Poland : Mazowieckie : Warszawa
Division:
CH Data Assets, Analytics & AI
Reference Code:
865586
Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to serve the most essential human needs of health and nutrition. At the same time, we strive to address some of the world’s biggest challenges presented by a growing and aging global population.
At Bayer, we’re committed to driving sustainable development and generate a positive impact with our businesses.
Through the power of science, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.
Data Privacy Statement & Imprint: https://www.bayer.com/en/glob-li-bayer-en-dps-imprint
