Principal AI Engineer

MedDeviceJobs; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Beckman Coulter Diagnostics seeks a Principal AI Engineer – R&D to define architecture and standards for enterprise AI, including agent workflows and RAG-based solutions. You will collaborate across R&D, quality, and regulatory teams to deliver scalable, secure AI that enhances productivity and traceability.

The role is an on-site position in Bangalore, India, reporting to the AI Transformation Leader within the Global Technology Organization.

Qualifications

• Bachelor’s degree in computer science, software engineering, data science, AI, or related tech field.
• 14+ years of experience developing enterprise software in medical device or regulated industries.
• Experience building AI applications using LLMs, agent frameworks, RAG architectures, and cloud AI services.

Responsibilities

• Define the architecture and technical direction for enterprise AI solutions across Beckman Coulter Diagnostics.
• Lead design reviews, mentor engineers, and ensure secure, observable AI systems with regulatory alignment.
• Partner with R&D, quality, regulatory, and security teams to scale AI solutions that improve productivity and traceability.

Skills

AI architecture

Python

C#

Java

LLMs

RAG

Azure AI

OpenAI

Education

Bachelor's degree in Computer Science or related

Tools

Vector databases

Cloud AI services

RAG frameworks

Engineering tooling

Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Beckman Coulter Diagnostics, one of Danaher’s (https://danaher.com/our-businesses) 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratory’s role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision making—we are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence.

Learn about the Danaher Business System (https://www.danaher.com/how-we-work/danaher-business-system) which makes everything possible.

The Principal AI Engineer – R&D is a senior individual-contributor technology leader responsible for defining the architecture, engineering standards, and technical direction for enterprise AI solutions that transform research and development across Beckman Coulter Diagnostics. This role combines hands-on solution design and development with cross-functional technical leadership to build, validate, and scale production-grade AI agents, Retrieval-Augmented Generation solutions, and intelligent engineering workflows across product development, systems engineering, software engineering, verification and validation, quality, and regulatory activities. The Principal AI Engineer partners with R&D and technology leaders to identify high-value opportunities, establish reusable architecture patterns and responsible AI controls, mentor engineering teams, and deliver secure, observable, compliant solutions that improve productivity, product quality, traceability, and speed to market. This position reports to the AI Transformation Leader and is part of the Global Technology Organization located in Bangalore, India and will be an on-site role.

In this role, you will have the opportunity to:

• Architect and deliver production-grade AI agents, engineering assistants, and agentic workflows that improve requirements development, systems engineering, risk management, design reviews, technical documentation, and end-to-end traceability.
• Design and scale intelligent solutions that accelerate software development, code and test generation, verification and validation, defect investigation, technical data analysis, and repetitive engineering work.
• Develop secure and scalable Retrieval-Augmented Generation (RAG) solutions grounded in engineering documentation, standards, technical reports, design history files, and lessons learned.
• Own the technical direction for agent architecture, orchestration frameworks, model selection and evaluation, reusable design patterns, enterprise integration, and standards for AI governance, validation, security, observability, model risk management, and responsible AI.
• Partner with R&D, quality, regulatory, security, and technology teams to prioritize high-value use cases, lead technical reviews, mentor engineers, and scale solutions that deliver measurable improvements in productivity, product quality, traceability, and speed to market.

The essential requirements of the job include:

• Bachelor’s degree in computer science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or related technical discipline.
• 14+years of experience developing enterprise software solutions using Python, C#, Java, or similar languages in medical device industry.
• Experience building AI applications utilizing LLMs, agent frameworks, RAG architectures, vector databases, and cloud AI services (Azure AI, OpenAI, Anthropic, or equivalent).

Travel, Motor Vehicle Record & Physical/Environment Requirements: if applicable for role

• 25% Ability to travel domestic and international
• Must have a valid driver’s license with an acceptable driving record
• Ability to lift, move or carry equipment up to 25lb, any other physical requirements

It would be a plus if you also possess previous experience in:

• Medical devices, diagnostics, healthcare, biotechnology, or other regulated industries.
• Model-Based Systems Engineering (MBSE), requirements management, risk management, or engineering lifecycle tools.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com .