AI Technical Expert

Philips is hiring an AI Technical Expert in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Architect and deliver enterprise-grade AI, machine learning, and Generative AI solutions from proof of concept to production.

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ragai-agentsartificial-intelligencemachine-learninggenerative-aisystem-architecture

Job Title

AI Technical Expert

Job Description

Role Summary:

We are looking for a senior technology professional with 15+ years of experience in software engineering, architecture, and enterprise technology, with strong experience across data engineering, machine learning, and AI/Generative AI.

The candidate will be responsible for applying AI to solve meaningful enterprise problems and realize measurable business and engineering value, while architecting and delivering scalable AI-enabled solutions and reusable AI capabilities.

The role requires strong software and data engineering foundations, AI/ML expertise, system architecture, hands-on development, and technical leadership.

Key Responsibilities

Identify and realize high-value enterprise opportunities through AI, with measurable business and engineering impact.
Architect and develop AI/ML and Generative AI solutions for enterprise use cases.
Build reliable data pipelines, data platforms and data processing capabilities that support AI/ML solutions.
Apply ML techniques to develop, train, evaluate and deploy machine learning solutions.
Design and develop LLM-based applications, including RAG, agents, tool use, and AI-assisted workflows.
Integrate AI solutions with existing enterprise platforms, APIs, data sources, and engineering tools.
Establish practices for AI architecture, evaluation, security, observability, and governance.
Lead POCs from hypothesis through productionisation, with measurable outcomes.
Mentor engineers and establish engineering best practices.

Experience & Skills

15+ years of software engineering / architecture / technology experience.
Strong programming skills, particularly Python, and solid software architecture fundamentals.
Experience designing data pipelines, data processing workflows, data platforms, and data quality practices.
Practical experience with ML model development lifecycle including data processing, ML model training, evaluation, deployment, and monitoring.
Strong understanding of AI/ML techniques and modern GenAI approaches, including but not limited to LLMs, prompting, context engineering and inference.
Practical experience with LLMs, RAG, AI agents, embeddings, and vector databases.
Experience with modern AI application frameworks and orchestration technologies such as LangChain, LangGraph, Semantic Kernel or equivalent.
Experience taking AI/ML solutions from PoC to production in enterprise environments.
Understanding of AI security, evaluation, observability, and governance.

Experience applying AI across the software development lifecycle (SDLC), DevOps and developer productivity is highly desirable.

How we rate this

AI Technical Expert at Philips rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

AI Technical Expert is an open job at Philips.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bangalore.
The job was posted on October 12, 2026.
Seniority: senior.
Applications are handled by Philips. Apply on Philips

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsArtificial IntelligenceMachine learningGenerative AISystem ArchitectureLangChainLangGraph

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Artificial Intelligence, Machine learning, and Generative AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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