AI Software Engineering Lead
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Job Description
AI engineering lead accelerating AI-assisted development across Veralto’s water quality software and firmware teams. Establishing standards, coaching engineers, and scaling innovation across operating companies.
Responsibilities:
- Accelerate adoption of Artificial Intelligence across Veralto Water Quality software and firmware organizations
- Partner with software, firmware, architecture, product management, and R&D leaders across Water Quality operating companies
- Implement AI-driven engineering practices to improve speed, quality, innovation, and customer outcomes
- Work directly with development teams to modernize software delivery and introduce AI-assisted development workflows
- Scale AI engineering best practices across diverse technology stacks
- Coach engineers on AI-assisted coding, testing, documentation, refactoring, and debugging
- Develop reusable AI engineering standards, prompt libraries, playbooks, and frameworks
- Lead workshops, hackathons, and technical bootcamps
- Evaluate emerging AI development technologies and coding agents
- Help modernize legacy systems through AI-enabled development approaches
- Establish KPIs measuring adoption, productivity, quality, and business impact
- Drive collaboration across multiple Water Quality operating companies
- Establish repeatable AI engineering standards within the first 12 months
- Increase adoption of AI-enabled development workflows
- Improve development velocity and software quality
- Build an engineering community of practice
- Create measurable business outcomes tied to AI adoption
Requirements:
- 8+ years of software engineering experience
- Hands-on experience using AI development tools including GitHub CoPilot, Claude Code, Codex, large language models, agentic workflows, or AI-powered engineering platforms
- Experience developing commercial software products using modern programming languages such as C#, Python, Java, TypeScript, C++, or similar
- Experience with cloud-native platforms, SaaS applications, APIs, containers, and CI/CD environments
- Deep expertise in modern software development practices
- Preferred: experience across software and embedded/firmware development environments
- Preferred: experience with IoT solutions, industrial automation, instrumentation, or connected products
- Preferred: experience leading DevOps, platform engineering, architecture, or developer productivity initiatives
- Preferred: experience implementing organizational change management programs within technology teams
- Preferred: familiarity with water quality, environmental monitoring, laboratory, utility, compliance, or industrial technology markets
- Preferred: understanding of AI governance, security, privacy, and compliant AI development practices
Benefits:
- Bonus/incentive pay
- Flexible, remote-friendly work environment
- Paid holidays
- Permissive paid time off policy emphasizing flexibility and trust
- Dedicated training
- On-the-job development
- Coaching
- Medical insurance
- Dental insurance
- Vision insurance
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