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Senior Architect — AI Enablement

Danaher


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (3 days ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Bring more to life.

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

At Cepheid one of Danahers 15 operating companies our work saves livesand were all united by a shared commitment to innovate for tangible impact.

Youll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danahers system of continuous improvement you help turn ideas into impact innovating at the speed of life.

At Cepheid we are passionate about improving health care through fast accurate molecular diagnostic systems and tests. As a member of our team youll get to make an immediate measurable impact on a global scale within an environment that fosters career growth and development. Our mission drives us to develop groundbreaking solutions for the worlds most complex health challenges. Together we bring MORE change to the world.

Learn about the Danaher Business System which makes everything possible.

The Senior Architect AI Enablement is responsible for serving as the guiding star for AI across our software engineering organization. This is not a strategy-only role: associate will be personally building proofs of concept embed with scrum teams to implement AI-driven solutions and shape how our organization adopts AI from developer productivity tooling to AI capabilities in our products. Associate will work across all engineering teams and their leaders and partner with Danaher-level AI leadership to ensure our direction stays aligned with the broader enterprise AI strategy.

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This position reports to the VP Software Cepheid and is part of the Software Engineering located in IDC Bangalore and will be an on-site role.

In this role you will have the opportunity to:

  • Hands-on AI implementation - Design build and demonstrate AI proofs of concept (POCs) that solve real problems for our teams and carry successful POCs through to production-ready patterns.
  • Implement solutions using modern AI tooling LLM APIs retrieval-augmented generation (RAG) agentic frameworks AI coding assistants integrated with our Java-based technology stack.
  • Establish reference architectures reusable components and coding standards for AI features so teams can adopt them quickly and safely.
  • Drive AI adoption across teams - Act as the organizations AI evangelist and trusted advisor: coach engineers managers product owners and directors on where and how AI can improve their work.
  • Set Strategy trends and governance for the s/w organization - Continuously scan industry trends in AI/GenAI evaluate emerging tools and models and recommend enhancements to the organizations AI roadmap.

The essential requirements of the job include

- Bachelors or Masters degree in Computer Science Engineering or a related field. 16 years of software engineering experience including 5 years in an architect or technical leadership role.

- Strong hands-on Java expertise (e.g. Spring Boot microservices REST APIs) with a track record of shipping production systems. - Proven experience building AI/GenAI POCs and taking at least some of them into production.

- Demonstrated hands-on experience with AI tools and technologies: LLM APIs (OpenAI Anthropic Azure OpenAI or similar) prompt engineering RAG pipelines vector databases and AI coding assistants (e.g. GitHub Copilot Claude Code).

- Excellent communication and influencing skills able to work effectively across multiple teams senior leaders and enterprise stakeholders without direct authority.

- Ability to translate business problems into pragmatic implementable AI solutions and to explain technical trade-offs to non-technical audiences.

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

  • Experience with agentic AI frameworks MCP or workflow orchestration (e.g. LangChain LlamaIndex Spring AI).
  • Familiarity with MLOps/LLMOps practices: evaluation monitoring cost management and guardrails for AI systems.
  • Experience driving AI adoption or developer-productivity programs in a multi-team engineering organization.

Join our winning team today. Together well accelerate the real-life impact of tomorrows 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 .


Required Experience:

Senior IC


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WHO WE ARE We are a global science and technology innovator committed to helping customers solve complex challenges and improving quality of life around the world. These are the moments that make a difference. Performing a delicate operation on an unborn baby. Minimizing waste at ever ... View more

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