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Automation and AI Tech Lead – Personal Health

Philips North America LLC · 🌍 Bangalore

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About the role

Job Title Automation and AI Tech Lead – Personal Health Job Description 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. Key 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. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related field. • 10+ 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,

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Source: Employer career site (Workday) First seen: 2026-10-08 Last confirmed: 2026-10-08 How our data works → Report this job

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