Job Title

Job Description

Data and AI Engineer

We're seeking an applied Data Scientist with hands-on expertise in Generative AI and Machine Learning Engineering to join our team. In this role, you will design and build innovative and ethically responsible Generative AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact. Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector.

Your role:

• Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more.
• Clean, preprocess, and curate data for evaluation, fine-tuning, and training.
• Setup cloud infrastructure and agentic frameworks using platforms like AWS and Microsoft.
• Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights.
• Keep up with the latest advancements in generative AI research and integrate new techniques into the development process.

You're the right fit if:

• You’ve acquired 2+ years of experience with hands-on development of generative AI solutions in a professional or enterprise environment. Highly desirable experience includes: multi-agent system design and orchestration techniques; build and manage agents using Bedrock, LangGraph, or other toolkits on AWS, including integration with other cloud services; and familiarity with healthcare data systems and clinical data formats (e.g., patient records, IPS bundles).
• Your skills include:
  • Proficiency in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch)
  • Strong understanding of classic NLP and LLM-based approaches and hands-on experience with LLMs, such as RAG, prompt engineering, data synthesis, automatic evaluation, and fine-tuning
  • Well-versed in provisioning AWS cloud infrastructure
  • Proficient in setting up CI/CD pipelines using GitHub Action
• You have a Master's degree with 2+ years experience, required or PhD, preferred in Computer Science, Engineering, or a related field focused on generative AI solutions or equivalent.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
• You’re also possess strong collaboration skills with frontend and platform engineers to ensure seamless integration and usability and are comfortable working in cross-functional teams, particularly in healthcare, AI, and cloud platforms.

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 is an office role.

About Philips

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 improve the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
• Learn more about our culture.

Philips Transparency Details

The pay range for this position in Cambridge, MA is $126,000 to $201,000.

The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Cambridge, MA.

#LI-PH1

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.