AI Software Engineering Lead

Veralto GlobalVancouver, BC
CA$180,000 - CA$200,000Remote

About The Position

Reporting to the CTO, AI & Software, the AI Software Engineering Lead is responsible for accelerating the adoption of Artificial Intelligence across Veralto Water Quality software and firmware organizations. This highly visible role will partner with software, firmware, architecture, product management, and R&D leaders across Water Quality operating companies to implement AI-driven engineering practices that improve speed, quality, innovation, and customer outcomes. You'll work directly with development teams, helping them modernize software delivery, introduce AI-assisted development workflows, and scale best practices across diverse technology stacks. This position will be remote with a preference toward someone based in the Vancouver, B.C. area OR in the Loveland, CO area.

Requirements

  • 8+ years of software engineering experience.
  • Hands-on experience using AI development tools (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.

Nice To Haves

  • Experience across both software and embedded/firmware development environments.
  • Experience with IoT solutions, industrial automation, instrumentation, or connected products.
  • Experience leading DevOps, platform engineering, architecture, or developer productivity initiatives.
  • Experience implementing organizational change management programs within technology teams.
  • Familiarity with water quality, environmental monitoring, laboratory, utility, compliance, or industrial technology markets.
  • Understanding of AI governance, security, privacy, and compliant AI development practices.

Responsibilities

  • Partner directly with engineering teams to implement AI-assisted software and firmware development practices.
  • 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 that measure adoption, productivity, quality, and business impact.
  • Drive collaboration across multiple Water Quality operating companies.

Benefits

  • Bonus/incentive pay
  • A flexible, remote-friendly work environment
  • Paid holidays and a permissive paid time off policy emphasizing flexibility and trust
  • Ongoing investment in your career through dedicated training, on-the-job development, and coaching
  • medical/dental/vision insurance
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