Senior Software Technologist - AI

Philips is a global leader in health technology, dedicated to improving lives through meaningful innovation. One of our five core businesses, Connected Care, focuses on delivering smarter, data-driven solutions that connect patients, providers, and systems to improve outcomes and efficiency.

This role sits within Hospital Patient Monitoring (HPM), which provides advanced monitoring solutions for acute care settings. From bedside and transport monitors to centralized systems, HPM helps clinicians identify at-risk patients and intervene quickly. The position is based in Bangalore, a key hub supporting innovation and collaboration across Philips.

We are looking for a Senior Software Technologist – AI to join our Hospital Patient Monitoring (HPM) business. In this role, you will play a key part in designing, building, and scaling intelligent software solutions that power next‑generation patient monitoring systems.

You will work at the intersection of cloud‑native software engineering, AI/GenAI, and secure medical technology, collaborating with global teams to deliver robust, scalable, and responsible AI‑enabled solutions that directly impact patient care.

This is a hands‑on technical role requiring strong coding, design thinking, and an end‑to‑end ownership mindset.

Key Responsibilities

• Design, develop, and maintain scalable, cloud‑native software solutions with strong emphasis on quality, performance, and security

• Contribute hands‑on across the full software lifecycle – architecture, coding, reviews, testing, deployment, and monitoring

• Build and evolve AI‑enabled capabilities, including applications leveraging Generative AI, LLMs, and prompt engineering

• Develop and expose robust APIs and backend services supporting distributed and microservices‑based architectures

• Implement and maintain CI/CD pipelines, enabling high levels of automation, reliability, and faster release cycles

• Collaborate effectively with global, cross‑functional teams (engineering, architecture, product, quality, and security)

• Rapidly prototype and validate ideas, balancing speed with engineering excellence

• Ensure adherence to security, privacy, and Responsible AI principles, especially within regulated healthcare environments

• Take an end‑to‑end, systems‑level view of problem solving, balancing technical depth with business and user impact

• Continuously learn and apply emerging technologies, tools, and programming paradigms