About the Team
Danaher's DHR Enterprise AI Solutions identifies opportunities, builds and scales reusable AI solutions, and accelerates measurable business impact across its operating companies. The organization combines product, architecture, AI science, engineering, and operations to industrialize AI, establish enterprise standards, and enable AI-powered products, workflows, applications, and decision-making.
Responsibilities
•Lead, design, build, and integrate scalable full-stack solutions using modern front- and back-end frameworks, cloud-native architectures, APIs, microservices, and AI technologies
•Define software architecture patterns and apply them across the organization to build, industrialize, and scale trusted, reusable AI solutions
•Integrate AI solutions with instruments to scale physical AI
•Establish reusable development frameworks, accelerators, libraries, and reference architectures to improve engineering productivity and consistency
•Mentor team members through technical leadership
•Champion secure-by-design principles, software quality practices, observability standards, and DevSecOps adoption throughout the development lifecycle
•Lead technical design reviews, architectural governance, and engineering best practices across multiple AI initiatives and product teams
•Lead cross-functional initiatives involving multiple operating companies and global stakeholders
•Drive innovation by identifying emerging technologies and translating them into business value
Requirements
•Bachelor's or master's degree in computer science, Software Engineering, Information Technology, Engineering, or a related technical discipline
•15+ years of software engineering experience, with demonstrated success designing and delivering large-scale enterprise applications, especially cloud-native applications and AI solutions
•Hands-on experience designing cloud-native applications, distributed systems, APIs, microservices, and event-driven architectures
•Technical expertise in .NET Core/C#, Python, React/Angular, Azure/AWS, Kubernetes services, Open AI, Vector Database, Snowflake, Postgres, Prompt Engineering, SQL, and Agent frameworks
Nice to Have
•Agentic AI platforms and autonomous workflow systems
•Enterprise Copilot and AI assistant development
•Retrieval-Augmented Generation (RAG) architecture
•Data engineering and analytics platforms
•Enterprise software modernization and digital transformation programs
•Leading enterprise teams for solutions
Conditions
No conditions stated in the posting.
