Cytiva
life sciences, diagnostics and biotechnology
SrStaffSoftwareEngineer,AppliedAI(f/m/d)
Neural analysis suggests this role is
optimal for Lead candidates.
“Sr Staff Software Engineer, Applied AI (f/m/d) at Cytiva. Skills: AI engineering strategy, GenAI capabilities, LLM integration patterns, RAG architectures, vector search strategies, AI system design, production-grade AI system design. Define and evolve the AI engineering architecture across multiple teams and product domains. Establish long-term technical direction for GenAI capabilities”
Industry & Context.
resolving architectural misalignments; Identify and proactively address long-term risks in AI systems before they become blockers; anticipating what others haven't seen yet; Ability to drive clarity in ambiguous spaces — synthesizing complex, messy problems into clear architectural direction and actionable plans that others can execute on
What They're Looking For.
Must Have
Proven org-level technical impact in the GenAI or AI/ML space with track record of not just building great systems, but shaping how organizations build with AI., Deep expertise in Generative AI, LLMs, RAG architectures, prompt engineering, and production-grade AI system design., Demonstrated ability to lead without formal authority - aligning engineers, managers, and stakeholders around a shared technical vision across organizational silos., Strong architectural thinking at scale: you design for long-term flexibility, organizational complexity, and cross-team reuse not just the immediate problem in front of you., Experience delivering end-to-end AI solutions from prototype to production, with cross-team coordination and organizational impact., Strong software engineering fundamentals — clean code, testing, CI/CD, API design — and the credibility and judgment to raise the bar on these across teams, not just within your own work., Ability to drive clarity in ambiguous spaces — synthesizing complex, messy problems into clear architectural direction and actionable plans that others can execute on., Experience working with cloud services in production AI environments., Strong communication skills — you can articulate technical strategy to both engineers and non-technical leadership with equal clarity and conviction.
Nice to Have
Experience defining and leading org-wide AI platform initiatives, architecture guilds, or internal AI engineering communities of practice., A track record of introducing standards, patterns, or frameworks that were adopted broadly across an engineering organization — not just within a single team., Experience scaling AI capabilities in fast-moving product organizations with all the ambiguity and tradeoffs that come with it., Hands-on mastery with Python, TypeScript and modern frameworks (e. g. , LangGraph, LangChani, Vercel AI SDK), Background in developer tooling, internal platform engineering and productivit focused AI products., Familiarity with responsible AI principles and practical experience implementing observability, evaluation pipelines, and safety guardrails in production systems.
What You'll Do.
Define and evolve the AI engineering architecture across multiple teams and product domains
Establish long-term technical direction for GenAI capabilities
Make high-impact decisions with real product and business implications
Lead cross-team AI initiatives from conception through delivery
and misalignment across organizational boundaries
Set org-wide standards for how teams build with GenAI
Act as a key technical partner to engineering managers
and cross-functional stakeholders
and investment decisions
Drive architecture reviews and system design for AI initiatives
Help others do architecture reviews and system design
Identify and proactively address long-term risks in AI systems
and champion AI tooling at an organizational level
Ensure model observability
and responsible operation across the AI engineering landscape
Mentor and sponsor Staff and Senior Engineers
Help engineers grow in technical depth
Contribute to leveling and hiring conversations
Stay ahead of the AI landscape
Translate emerging technologies into concrete
org-level opportunities and strategies
How You'll Work.
Team & Collaboration
Act as a key technical partner to engineering leadership, product teams, and cross-functional stakeholders; Aligning people across silos; Resolving architectural misalignments; Creating the conditions for teams to move fast and confidently with AI; Lead cross-team AI initiatives; Aligning engineers, managers, and stakeholders around a shared technical vision across organizational silos; Cross-team coordination; Collaborate with customers across the globe
Communication Scope
articulate technical strategy to both engineers and non-technical leadership with equal clarity and conviction
Process & Methodology
Lead cross-team AI initiatives from conception through delivery, Drive architecture reviews and system design for AI initiatives, Synthesizing complex, messy problems into clear architectural direction and actionable plans that others can execute on
Full 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 Cytiva, one of Danaher’s 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. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. The **Senior Staff Software Engineer, Applied AI** defines and drives the AI engineering strategy across multiple teams and product domains, setting the architectural direction for our GenAI capabilities and ensuring their long-term scalability, reliability, and impact. This role operates at the intersection of deep technical expertise and organizational leadership: shaping how we build with AI as an organization, not just contributing to that build. You will act as a key technical partner to engineering leadership, product teams, and cross-functional stakeholders, aligning people across silos, resolving architectural misalignments, and creating the conditions for teams to move fast and confidently with AI. You bring a systems-level mindset, lead through influence and leave things meaningfully better than you found them — for the technology, and for the people around you. This is an
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