Senior Engineering Manager, Agentic AI Platforms

<div class="content-intro"><p><strong>ABOUT LVT</strong></p> <p><a href="https://www.lvt.com/resources/why-work-at-lvt">LVT</a> is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first <a href="https://www.lvt.com/story">mobile, solar-powered units</a>, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to <a href="https://www.lvt.com/careers">join a cutting-edge team</a> that isn't just watching the world change, but actively building the technology that is changing it.</p> <p>We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.</p> <ul> <li><strong>A Top-Tier Growth Company: </strong>Named one of the <em>Financial Times’ Fastest Growing Companies 2025</em> and <em>#10 on the Inc. 5000 Rocky Mountain Regional</em> list for 2025.</li> <li><strong>Innovative Leadership: </strong>Our CEO, Ryan Porter, was named an <em>EY Entrepreneur of the Year 2025</em>, and our CTO, Steve Lindsey, was inducted into the <em>Silicon Slopes CTO Hall of Fame</em> in 2024.</li> <li><strong>Product &amp; Software Excellence: </strong>We were named one of <em>The Software Report’s Top 100 Software Companies of 2023</em> and are a winner of the <em>Security Today Govies Award </em>for 2025.</li> </ul></div><p><strong>ABOUT THIS ROLE</strong></p> <p>We are seeking a Senior Engineering Manager to lead a high-performing engineering team building the next generation of Agentic AI and intelligent distributed systems at LVT.</p> <p>This role sits at the center of Physical AI innovation and requires a leader who combines strong engineering fundamentals with deep passion for emerging AI technologies. You will lead teams building AI-driven services, autonomous workflows, distributed systems, and platforms that connect cloud intelligence with edge devices operating in real-world environments.</p> <p>You will work closely with Product, Architecture, AI/ML, Edge, and Platform teams to transform large-scale streams of sensor and video data into actionable intelligence. This role requires someone who can build scalable systems while attracting, mentoring, and retaining exceptional engineering talent.</p> <p>You should be equally comfortable discussing AI model architectures, distributed system design, inference pipelines, and organizational leadership.</p> <p><strong>ROLE RESPONSIBILITIES</strong></p> <ul> <li>Team Leadership &amp; Talent Development: Lead, coach, and grow a high-performing team of software engineers and AI engineers. Recruit exceptional talent while building an environment that promotes mentorship, ownership, and long-term retention.</li> <li>Agentic AI Platforms: Lead the development of systems that leverage AI agents, memory systems, orchestration frameworks, and autonomous workflows to enable intelligent decision-making and real-world automation.</li> <li>Scalable Distributed Architecture: Partner with Principal Engineers and Architects to design and build resilient, highly available distributed services capable of supporting large-scale deployments and high-throughput workloads.</li> <li>AI &amp; Machine Learning Systems: Partner with AI/ML teams on training, deployment, evaluation, and operationalization of models including LLMs, VLMs, and multimodal systems.</li> <li>Edge-to-Cloud Intelligence: Drive architecture that spans cloud services and edge infrastructure, ensuring intelligent orchestration across cameras, sensors, and distributed compute environments.</li> <li>Technical Strategy &amp; Execution: Translate product strategy into technical roadmaps and execution plans while balancing innovation, reliability, scalability, and delivery commitments.</li> <li>Engineering Excellence: Establish strong engineering practices around architecture reviews, operational excellence, reliability, observability, AI evaluation frameworks, and development workflows.</li> <li>AI Productivity &amp; Developer Experience: Drive adoption of AI-assisted development practices and tools to improve engineering velocity and increase team leverage.</li> <li>Cross-functional Leadership: Partner closely with Product, Hardware, Security, Infrastructure, and Architecture organizations to align priorities and accelerate delivery.</li> <li>Innovation Leadership: Maintain awareness of emerging trends in Agentic AI, AI infrastructure, Physical AI, and distributed computing. Encourage experimentation and thoughtful technology adoption.</li> </ul> <p><strong>OUR IDEAL CANDIDATE</strong></p> <ul> <li>Engineering Leadership Experience: 10+ years of software engineering experience including 4+ years managing and growing engineering teams in high-growth environments.</li> <li>AI Systems Experience: Experience building and deploying AI-driven systems utilizing machine learning models, LLMs, multimodal AI, recommendation systems, or agentic architectures.</li> <li>Agentic AI Expertise: Experience designing systems involving AI agents, memory systems, orchestration frameworks, MCP architectures, retrieval systems, or autonomous workflows.</li> <li>Distributed Systems Expertise: Strong experience designing highly scalable distributed systems and cloud-native services supporting tens of thousands of edge devices and millions of events per day.</li> <li>Cloud &amp; Infrastructure Experience: Strong background with cloud platforms such as AWS and modern container orchestration technologies including Kubernetes.</li> <li>Technical Foundation: Strong experience in languages such as Python, Go, C++, or Java and experience building APIs and large-scale backend systems.</li> <li>MLOps &amp; AI Infrastructure: Familiarity with ML infrastructure and tooling including model deployment pipelines, evaluation frameworks, observability, and inference optimization.</li> <li>Physical AI Passion: Strong interest in AI applications involving real-world systems including sensors, video, robotics, IoT, computer vision, or edge intelligence.</li> <li>Talent Builder: Demonstrated success hiring, mentoring, retaining, and developing high-performing engineering organizations.</li> <li>Strategic Thinking: Ability to make thoughtful, data-driven decisions and balance long-term platform investments with immediate business needs.</li> <li>Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.</li> </ul> <p><strong>PREFERRED QUALIFICATIONS</strong></p> <ul> <li>Experience with Computer Vision, Large Vision Models, or multimodal systems.</li> <li>Experience deploying AI models to edge environments including NVIDIA Jetson or similar hardware.</li> <li>Experience with AI frameworks and tooling including TensorFlow, PyTorch, LangGraph, MCP frameworks, vector databases, and inference platforms.</li> <li>Experience with AI safety, guardrails, evaluation frameworks, and memory systems.</li> </ul> <p><strong>COMPENSATION</strong></p> <p>The beginning annual salary range for this role is $250,200.00 - $302,900.00 USD and is determined by location, job-related experience, and education/training. Total compensation includes annual performance incentives and participation in LVT's equity program.</p><div class="content-conclusion"><div class="p-rich_text_section"> <p><strong>BENEFITS</strong></p> <p>We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</p> <p><strong><em>LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER.</em></strong><em> All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.</em></p> </div></div>