AI Software Engineering Lead

🔥 12 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Veralto

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🍽️ Food & Beverage

📦 Logistics

Healthcare • Food & Beverage • Logistics

Veralto is a global enterprise comprising 13 operating companies and over 300 locations worldwide. With a workforce of 16,000 associates, Veralto focuses on impactful work in areas crucial to everyday life, such as water, food, and medicine. The company's Water Quality division manages, treats, purifies, and protects water on a global scale, while the Product Quality & Innovation division ensures the safety and authenticity of essential goods in the global supply chain. Committed to fostering a diverse and inclusive workplace, Veralto invests in its employees' growth through hands-on learning and career development opportunities, supported by a global network and the resources of an S&P 500 company.

📋 Description

• 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