Senior AI Engineer

Boehringer Ingelheim; Sant Cugat del Vallès; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working conditions

Life and accident insurance

Health insurance

Learning and development

Gym membership discounts

Descripción de la vacante

Boehringer Ingelheim is seeking a Senior AI Engineer in Spain to design, build, and scale ML and Generative AI solutions integrated into enterprise platforms and cybersecurity operations. You will own the full AI lifecycle, collaborate with cross-functional teams, and mentor engineers while driving responsible AI practices.

You will work with data, product, and cybersecurity teams to deliver production-ready AI solutions, monitor performance, and stay ahead of AI governance and security

Formación

• 5+ years of AI/ML engineering experience with proven production deployments.
• Proficient in Python with PyTorch or TensorFlow.
• Experience with LLM frameworks and RAG workflows.
• Ability to design scalable AI architectures and API-driven services in cloud environments (AWS/Azure/GCP).
• Strong MLOps knowledge: CI/CD, containerization, monitoring, and lifecycle management.
• Familiarity with GDPR, data governance, and privacy requirements.
• Experience mentoring engineers and working with global cross-functional teams.
• Fluent English in professional settings.

Responsabilidades

• Design, develop, and deploy ML and Generative AI solutions from experimentation to production.
• Review production-grade code and ensure integration with platforms and services.
• Collaborate with platform, backend, data, product, and cybersecurity teams on requirements and architecture.
• Develop AI-driven capabilities to modernize CSOC operations.
• Monitor model performance, reliability, and drift; troubleshoot production issues.
• Mentor junior engineers and provide technical guidance on challenges.
• Evaluate new tools and approaches; contribute to AI governance and responsible AI practices.
• Document architecture decisions, designs, and model behavior.
• Stay current with emerging AI technologies and apply relevant innovations.

Conocimientos

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

RAG

Cloud (AWS/Azure/GCP)

MLOps

CI/CD

Containerization

GDPR/Data governance

Mentoring

English

Herramientas

Docker

Kubernetes

MLflow

Descripción del empleo

The Senior AI Engineer will design, build, and scale Machine Learning and Generative AI solutions integrated into enterprise platforms, data infrastructure, and products. As part of the Cybersecurity team, this role will support the transformation of the Cyber Security Operations Center (CSOC) by developing AI-driven capabilities that enhance security operations, automation, and decision-making. Working closely with platform, backend, data, product, and cybersecurity teams, the Senior AI Engineer will own the end-to-end AI lifecycle, from experimentation and development to deployment and monitoring, while providing technical leadership and mentoring within the AI Engineering team.

Tasks and responsibilities

• Design, develop, and deploy Machine Learning and Generative AI solutions from experimentation through production
• Build and review production-grade code and ensure seamless integration with existing platforms and services
• Partner with platform, backend, data, product, and cybersecurity teams to define requirements and architecture decisions
• Develop AI-driven capabilities that support the modernization and effectiveness of the Cyber Security Operations Center
• Monitor model performance, reliability, and drift while troubleshooting production issues
• Mentor junior engineers and provide technical guidance on complex challenges
• Evaluate and adopt new tools, frameworks, and approaches to continuously improve existing systems. Contribute to AI governance, data privacy, compliance, and responsible AI practices
• Document architecture decisions, system designs, and model behavior
• Stay current with emerging AI and Machine Learning technologies and apply relevant innovations

Requirements

• 5+ years of experience in AI/ML engineering with a proven track record of designing, building, and deploying Machine Learning and Generative AI solutions in production environments
• Strong expertise in Python and hands-on experience with PyTorch or TensorFlow, together with solid knowledge of machine learning fundamentals, statistics, feature engineering, and model evaluation
• Experience with LLM frameworks and techniques including LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), embeddings, agentic workflows, and modern AI application development
• Proven ability to design scalable AI architectures, integrate AI capabilities into enterprise platforms, and develop API-driven services in cloud environments such as AWS, Azure, or GCP
• Solid understanding of MLOps practices, including CI/CD, containerization, model deployment, monitoring, observability, and lifecycle management
• Familiarity with vector databases, AI infrastructure tooling, and data governance, privacy, and compliance requirements such as GDPR
• Experience mentoring engineers, collaborating with global cross-functional teams, and delivering solutions from proof of concept through production
• Experience working with cybersecurity, security operations, threat detection, incident response, or related domains is highly desirable
• Fluent English is required

Please note: The job title used in this advertisement may differ from the official contractual title.

Benefits

• Flexible working conditions
• Life and accident insurance
• Health insurance at a competitive price
• Investment in your learning and development
• Gym membership discounts

Our Company

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com