At Abbott, we believe people with diabetes should be empowered to enjoy healthy and happy lives. That’s why we’re focused on helping people with diabetes manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improve the lives of people?

In our new Technology Hub in Barcelona, you will join our purpose driven team to:

Drive innovation in health tech by developing scalable platforms that transform real-time biosensor data into meaningful insights.Shape the future of digital health by building solutions that empower people to take control of their metabolic health.Create engineering with a global impact by working on technology that reaches millions worldwide.Advance accessibility and compatibility by ensuring our solutions integrate seamlessly across devices and ecosystems.

You will work with a modern tech stack on a Software as a Service (SaaS) cloud platform that serves users in over 49 countries. The core platform consists of systems housed in a large-scale environment responsible for processing billions of tasks every day.

What You’ll Work On

Build and Integrate AI Solutions using LLM APIs (OpenAI, AWS Bedrock, Anthropic, Mistral) — not just plan, but hands-on develop.Shape LLM behavior through prompt engineering, guardrail development, and fine-tuning pipelines.Design and build scalable APIs (e.g., FastAPI , Flask) to enable AI-driven features across products.Lead performance tuning and ensure system scalability across mobile and cloud platforms.Implement GenAI Safety Best Practices , focusing on hallucination mitigation and secure model usage.Estimate and optimize costs for large-scale cloud LLM operationsConsult and Communicate AI strategies to legal, compliance, quality, and executive teams — tailoring technical concepts to diverse audiences.Own and Drive Tactical Execution of AI initiatives across multiple products, not just providing oversight.

Required Qualifications

Bachelor's Degree with 10+ years of experience or Master's Degree with 7+ years of related software architecture experience (not all AI related) across mobile and cloud platforms.4–8 years of hands-on experience developing and implementing AI/LLM architecture and solutions. (Flexibility on years given AI’s rapid evolution .)Strong Python development skills— building new APIs, integrating LLMs, and engineering GenAI applications.Deep experience working with cloud-based LLMs (e.g., OpenAI, AWS Bedrock, Anthropic, Mistral models).Testing and Debugging — p roficiency in AI app testing techniques, including unit testing, integration testing, and UI testing across various mobile devices and operating system platforms.Strong communication and documentation skills — producing diagrams, demos, and technical artifacts that make AI strategies understandable and actionable.Proven ability to design for cost efficiency and scalability.Strategic thinker who balances technical innovation with business needs.

Preferred Qualifications

Experience developing GenAI agents and LLM meshes.Background in large enterprise architecture or scaling AI solutions across multiple business units.Experience working in or around regulated industries (healthcare, life sciences, finance) is a plus.