AI Solution Architect

Job Title

Job Description

We are looking for an experienced and hands-on AI Technical Architect to join our Frontier AI foundRy team (FAIR) within Philips Data & AI Engineering organization, part of the global Innovation & Design (I&D) function.

This role will play a key part in exploring, architecting, and realizing next-generation AI capabilities — from experimentation to engineering maturity — enabling Philips’ businesses to accelerate innovation responsibly and effectively. This is a role for someone who thrives on experimentation, cross-functional collaboration, and translating strategic opportunities into tangible technical outcomes.

You will act as both a solution architect and technical lead, while also being a hands-on individual contributor who needs to;

Setup and manage a virtual AI Agents team.
Leverage the latest AI technologies, cloud services, and agentic frameworks to turn frontier ideas into scalable engineering solutions.
See through "can be done" mindset to begin with.
Be the jack of all trades as per need.

The Frontier AI foundRy team — a multidisciplinary innovation engine within Philips Data & AI Engineering — responsible for running exploratory sprints, co-developing proofs-of-concept with Philips Business Units (BUs), and building the AI capabilities that power Philips’ next generation of intelligent products and services.

You will report directly to the Head of Data & AI Business Operations and collaborate closely with other Frontier AI initiatives such as AI Impact Sprints, AI Launchpads, and co-creation with external partners (AWS, Azure, GCP, OpenAI, Nvidia, etc.).

Your Role:

Lead and architect advanced AI capabilities from concept to implementation within the AI Foundry.
Design, prototype, and scale AI systems leveraging cloud-native architectures (AWS, Azure, GCP) and modern agentic frameworks.
Translate stakeholder needs into clear, actionable technical work packages and execution plans.
Partner with BUs, Markets, and Functions to identify high-impact use cases and accelerate AI adoption.
Provide technical leadership across multiple initiatives — balancing experimentation, engineering rigor, and speed.
Stay ahead of emerging AI, GenAI, and cloud trends to guide strategic technology decisions and inspire the team.
Support co-creation of reusable capabilities and contribute to Philips’ AI engineering standards and lifecycle practices.
Foster a culture of innovation, autonomy, and shared ownership — empowering team members to define how to achieve collective goals.

You’re the right fit if:

You are a self-starter with strong ownership, able to operate from idea conception to working prototypes and production-scale systems.
You enjoy bridging business needs and technical design, translating complex challenges into elegant engineering solutions.
You thrive in a collaborative, fast-moving environment where experimentation and learning are core values.
You have a deep curiosity for emerging AI technologies, cloud-native AI architectures, and multi-agent systems.
You have an intrinsic motivation to experiment new technologies, stay abreast of the trends.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
15+ years of experience in software engineering, data engineering, or AI system design.
Proven experience architecting and implementing cloud-based AI solutions (AWS, Azure, or GCP).
Strong knowledge of AI frameworks, large language model integration, and AI agent orchestration.
Solid understanding of microservices, API-based integration, and MLOps / LLMOps practices.
Excellent interpersonal and communication skills, able to work effectively across technical and business domains.
Demonstrated ability to drive complex, cross-functional initiatives with limited oversight.

Preferred Qualifications

Experience with healthcare-grade AI solutions or regulated product development (a strong plus).
Familiarity with hyperscaler AI services (e.g., AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Experience leading hackathons, innovation sprints, or internal accelerators.
Understanding of AI lifecycle management and enterprise AI governance frameworks.

How we work togetherWe believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.this role is an office role.

About PhilipsWe 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.

#LI-Hybrid

#LI-PHILIN

Details

Location

Bengaluru, Karnataka, India

Experience

Min. 15 years15+ years of experience in software engineering, data engineering, or AI system design.

Job Title

AI Solution Architect

Job Description

You will act as both a solution architect and technical lead, while also being a hands-on individual contributor who needs to;

Setup and manage a virtual AI Agents team.
Leverage the latest AI technologies, cloud services, and agentic frameworks to turn frontier ideas into scalable engineering solutions.
See through "can be done" mindset to begin with.
Be the jack of all trades as per need.

The Frontier AI foundRy team — a multidisciplinary innovation engine within Philips Data & AI Engineering — responsible for running exploratory sprints, co-developing proofs-of-concept with Philips Business Units (BUs), and building the AI capabilities that power Philips’ next generation of intelligent products and services.

Your Role:

Lead and architect advanced AI capabilities from concept to implementation within the AI Foundry.
Design, prototype, and scale AI systems leveraging cloud-native architectures (AWS, Azure, GCP) and modern agentic frameworks.
Translate stakeholder needs into clear, actionable technical work packages and execution plans.
Partner with BUs, Markets, and Functions to identify high-impact use cases and accelerate AI adoption.
Provide technical leadership across multiple initiatives — balancing experimentation, engineering rigor, and speed.
Stay ahead of emerging AI, GenAI, and cloud trends to guide strategic technology decisions and inspire the team.
Support co-creation of reusable capabilities and contribute to Philips’ AI engineering standards and lifecycle practices.
Foster a culture of innovation, autonomy, and shared ownership — empowering team members to define how to achieve collective goals.

You’re the right fit if:

You are a self-starter with strong ownership, able to operate from idea conception to working prototypes and production-scale systems.
You enjoy bridging business needs and technical design, translating complex challenges into elegant engineering solutions.
You thrive in a collaborative, fast-moving environment where experimentation and learning are core values.
You have a deep curiosity for emerging AI technologies, cloud-native AI architectures, and multi-agent systems.
You have an intrinsic motivation to experiment new technologies, stay abreast of the trends.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
15+ years of experience in software engineering, data engineering, or AI system design.
Proven experience architecting and implementing cloud-based AI solutions (AWS, Azure, or GCP).
Strong knowledge of AI frameworks, large language model integration, and AI agent orchestration.
Solid understanding of microservices, API-based integration, and MLOps / LLMOps practices.
Excellent interpersonal and communication skills, able to work effectively across technical and business domains.
Demonstrated ability to drive complex, cross-functional initiatives with limited oversight.

Preferred Qualifications

Experience with healthcare-grade AI solutions or regulated product development (a strong plus).
Familiarity with hyperscaler AI services (e.g., AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Experience leading hackathons, innovation sprints, or internal accelerators.
Understanding of AI lifecycle management and enterprise AI governance frameworks.

How we work togetherWe believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.this role is an office role.

#LI-Hybrid

#LI-PHILIN