Automation and AI Tech Lead – Personal Health

Role overview

Automation and AI Tech Lead – Personal Health at Philips

Job Title: Automation and AI Tech lead – Personal Health

We are looking for an experienced AI & Automation Lead to define, build, and scale AI-enabled automation capabilities for an enterprise labeling compliance and artwork validation platform.

This strategic and hands-on leadership role will translate business, regulatory, and operational requirements into secure, scalable, explainable, and production-ready solutions.

The ideal candidate brings 10+ years of experience across enterprise technology, automation, application engineering, and AI-enabled transformation, including experience leading multidisciplinary teams and complex delivery programs.

You will work closely with product owners, AI/ML engineers, architects, compliance stakeholders, business teams, and technology partners to deliver a scalable MVP and establish a future-ready automation platform.

Responsibilities

• Define and own the AI and automation strategy, architecture, roadmap, and delivery model for the platform.
• Lead the design, development, testing, deployment, and scaling of AI-enabled automation solutions across frontend, backend, APIs, data, workflows, and integration layers.
• Convert business, regulatory, and compliance requirements into scalable solution designs, reusable capabilities, and measurable delivery outcomes.
• Lead multidisciplinary teams comprising AI/ML engineers, software engineers, automation developers, UX specialists, and external partners.
• Design intelligent, human-in-the-loop workflows for review, approval, exception handling, escalation, and audit-trail management.
• Guide the integration of AI/ML models, OCR, document intelligence, computer vision, rules engines, and automation services into robust and explainable business applications.
• Establish reusable APIs, modular services, orchestration patterns, and automation components that can scale across business units, markets, and use cases.
• Drive integration with enterprise systems such as document repositories, workflow platforms, product data sources, regulatory systems, reporting tools, and identity services.
• Ensure solutions meet enterprise standards for security, privacy, reliability, performance, maintainability, traceability, and compliance.
• Define governance for model usage, prompt and workflow lifecycle, access control, logging, auditability, monitoring, and responsible AI.
• Evaluate AI, automation, low-code, and orchestration technologies and recommend fit-for-purpose platforms and engineering patterns.
• Own technical quality through architecture reviews, design governance, code reviews, testing strategy, release readiness, and production support.
• Drive DevOps, CI/CD, test automation, observability, and controlled deployment practices for MVP and production releases.
• Partner with senior business and technology stakeholders to prioritize opportunities, manage dependencies, communicate risks, and demonstrate business value.
• Mentor technical team members, strengthen engineering practices, and build organizational capability in AI and automation.

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related field.
• Preferably 8+ years of experience in enterprise software engineering, automation, digital platforms, or AI-enabled solution delivery.
• At least 3 years of experience in a technical leadership, solution leadership, engineering management, or architecture role.
• Proven experience leading complex, cross-functional technology initiatives from discovery and architecture through implementation and production scale-up.
• Strong understanding of AI solution patterns, generative AI, intelligent automation, workflow orchestration, and human-in-the-loop design.
• Hands-on understanding of modern application architecture, including frontend frameworks, backend services, REST APIs, microservices, event-driven patterns, and data platforms.
• Experience with Python and one or more enterprise application technologies such as Node.js, Java, or .NET.
• Experience integrating AI services and model outputs into enterprise applications in a secure, reliable, and explainable manner.
• Strong experience with cloud platforms such as Azure, AWS, or GCP and with cloud-native architecture and services.
• Experience with relational and NoSQL databases such as PostgreSQL, SQL Server, MongoDB, or similar technologies.
• Experience with CI/CD, Git-based version control, automated testing, observability, and modern software delivery practices.
• Solid knowledge of authentication, authorization, API security, secure coding, data privacy, and role-based access control.
• Demonstrated ability to influence senior stakeholders, manage competing priorities, and communicate complex technical topics clearly.
• Strong analytical, problem-solving, team leadership, and vendor-management skills.

Preferred qualifications and skills

• Experience delivering workflow, compliance, regulatory, quality, or approval-based enterprise applications.
• Experience with generative AI, large language models, retrieval-augmented generation, AI agents, prompt orchestration, or responsible AI controls.
• Familiarity with OCR, document processing, computer vision, artwork validation, and structured information extraction.
• Experience with automation platforms, business process management tools, low-code platforms, or robotic process automation.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of event-driven architectures, message queues, asynchronous processing, and enterprise integration patterns.
• Experience managing technology vendors, implementation partners, budgets, delivery plans, and statements of work.
• Understanding of audit logging, traceability, validation, and regulated-process application design.
• Exposure to product lifecycle, packaging, labeling, quality, or compliance processes is an advantage.
• Key Skills
• AI and automation strategy
• Enterprise solution architecture
• Generative AI and intelligent automation
• Workflow orchestration and human-in-the-loop design
• Full stack and cloud-native application development
• API, microservices, and event-driven architecture
• Enterprise system integration
• Secure and responsible AI engineering
• DevOps, CI/CD, testing, and observability
• Technical leadership and team development
• Program delivery and vendor management
• Executive stakeholder communication
• Agile delivery and cross-functional collaboration
• How we work together We believe that we are better together than apart.
• For our office-based teams, this means working in-person at least 3 days per week.
• Onsite roles require full-time presence in the company’s facilities.
• Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
• This role is an office role.

Employment details

• Location: Bangalore [India]

About the employer

• We are a health technology company.
• We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve.
• Do the work of your life to help the lives of others.
• Learn more about our business .
• Discover our rich and exciting history .
• Learn more about our purpose .
• If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply.
• You may still be the right candidate for this or other opportunities at Philips.
• Learn more about our culture of impact with care here .

Additional role details

• Job Title
• Automation and AI Tech Lead – Personal Health