Philips

Makes medical devices and personal health products

AI Technical Expert

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 15 years of software engineering, architecture, or technology experience.
Strong programming skills, particularly in Python, and solid software architecture fundamentals.
Experience designing data pipelines, data processing workflows, data platforms, and data quality practices.
Practical experience with the machine learning model development lifecycle, including data processing, model training, evaluation, deployment, and monitoring.
Strong understanding of AI and machine learning techniques and modern generative AI approaches, including large language models, prompting, context engineering, and inference.
Practical experience with large language models, retrieval-augmented generation, AI agents, embeddings, and vector databases.
Experience with modern AI application frameworks and orchestration technologies such as LangChain, LangGraph, or Semantic Kernel, or equivalent.
Experience taking AI and machine learning solutions from proof of concept to production in enterprise environments.
Understanding of AI security, evaluation, observability, and governance.

Responsibilities

Identify and realize high-value enterprise opportunities through AI, with measurable business and engineering impact.
Architect and develop AI, machine learning, and generative AI solutions for enterprise use cases.
Build reliable data pipelines, data platforms, and data processing capabilities that support AI and machine learning solutions.
Apply machine learning techniques to develop, train, evaluate, and deploy machine learning solutions.
Design and develop large-language-model-based applications, including retrieval-augmented generation, agents, tool use, and AI-assisted workflows.
Integrate AI solutions with existing enterprise platforms, application programming interfaces, data sources, and engineering tools.
Establish practices for AI architecture, evaluation, security, observability, and governance.
Lead proofs of concept from hypothesis through production, with measurable outcomes.
Mentor engineers and establish engineering best practices.

Desired Qualifications

Experience applying AI across the software development lifecycle, DevOps, and developer productivity.

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.

About the Company

Philips

Makes medical devices and personal health products

Philips makes medical equipment and software for hospitals and care providers, along with personal health products for consumers. Its hospital portfolio spans MRI and CT scanners, ultrasound, image-guided treatment systems and patient monitors, while Sonicare and Avent cover oral health and baby care. Clinical software connects medical images and patient data across care teams, and the company earns revenue from equipment, software, maintenance and consumer product sales. It works with health systems through long-term technology and service partnerships, including solutions for care at home. Founded in 1891, Philips is headquartered in Amsterdam, the Netherlands.

Company size: 10,001+
Company stage: Acquired
Total funding: $164.7M
Headquarters: Andover, MN
Founded: 1891

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