AI Software Engineering Lead

Job not on LinkedIn

🔥 6 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 7%

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

• Embed directly with software and firmware teams to identify practical AI use cases, improve workflows, and accelerate adoption • Coach developers on AI-assisted coding, testing, documentation, refactoring, debugging, and legacy code modernization • Create practical playbooks, prompt libraries, reusable patterns, and engineering standards • Support focused AI and software Kaizens, hackathon-style working sessions, and technical workshops • Evaluate and champion emerging AI development tools, coding agents, RAG approaches, agentic workflows, and other engineering productivity technologies • Build proofs of concept demonstrating how AI can improve engineering delivery and unlock customer-facing innovation • Measure impact through adoption, productivity, quality, DORA metrics, and other indicators • Lead through influence across multiple Water Quality operating companies • Report to the CTO, AI & Software • Travel to collaborate with Water Quality teams across North America, with potential international collaboration as needed

🎯 Requirements

• Principal-level depth in software engineering, firmware engineering, AI engineering, architecture, developer productivity, or a related technical leadership path • Hands-on experience applying AI development tools, large language models, RAG approaches, MCP concepts, agentic workflows, coding agents, or AI-powered engineering platforms in real software environments • Ability to quickly understand unfamiliar code bases, development environments, and technical constraints, then identify where AI can create practical value • Credibility with developers and technical fluency to coach, prototype, troubleshoot, and lead by example • Strong communication and change leadership skills • Ability to influence teams without direct authority and help them adopt new ways of working • Experience across both 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 (preferred)

🏖️ Benefits

• Bonus/incentive pay • A flexible, remote-friendly work environment • Paid holidays • Permissive paid time off policy emphasizing flexibility and trust • Dedicated training • On-the-job development • Coaching • Medical, dental, and vision insurance for eligible employees