Manager, Engineering (AI & Agentic Platform)

QAD | Redzone is redefining manufacturing and supply chains through an intelligent, adaptive platform that connects people, processes, and technology into a single System of Action. Founded in 1979 and headquartered in Miami, Florida, the company serves manufacturers across more than 100 countries in industries including automotive, consumer products, food and beverage, high technology, industrial equipment, and life sciences. The platform is built on three core pillars: Redzone (frontline empowerment), Adaptive ERP (the intelligent backbone of manufacturing operations), and ChampionAI (Agentic AI purpose-built for manufacturing). Together, these enable manufacturers to achieve measurable productivity, resilience, and growth — in as little as 90 days. QAD | Redzone is seeking a technically strong Engineering Manager to lead our AI & Agentic Platform team. You will be responsible for building and scaling a production-grade AI platform for Manufacturing, combining strong people leadership with deep software engineering and AI expertise. This is a high-impact role at the intersection of modern cloud architecture, agentic AI systems, and industrial software. WHAT YOU'LL DO Define technical priorities for the engineering team and collaborate cross-functionally with Product and other engineering teams. Coach, mentor, and develop software and AI engineers to support their professional growth. Manage a small, focused team — including engineers more specialized than you in specific AI domains. Challenge architecture and design decisions without becoming a bottleneck; uphold high standards for code quality, security, and reliability. Balance innovation, delivery speed, and production-grade quality when building and scaling platform services. Lead technical decisions spanning AI, backend, frontend, data, and cloud infrastructure. Drive the design and deployment of robust software using modern cloud, container, and microservices architectures. Oversee integration of Agentic AI elements — agent orchestration, RAG, tool calling, and workflows. Implement standards for AI governance, evaluation, and agent observability.   MUST-HAVE QUALIFICATIONS Total Experience of around 10+ years with 5+ years managing or technically leading a small engineering team. Strong software engineering and architecture background (ideally from a Senior / Principal / Tech Lead trajectory). Solid understanding of AI/LLM technologies — RAG, agent orchestration, tool calling, and workflows. Hands-on exposure to building and deploying Agentic AI systems (not just conceptual knowledge). Good command of data architectures and pipelines. Experience with cloud architectures and modern cloud-native design. Working knowledge of DevOps, CI/CD, containers, and observability. Ability to challenge technical decisions across AI, backend, frontend, data, and infrastructure. Proven record delivering production-grade software end-to-end. NICE-TO-HAVE Manufacturing, Industrial software, ERP, Supply Chain, WMS, or TMS experience. AWS ecosystem familiarity — Bedrock, SageMaker, or equivalent. Experience with Snowflake and/or Kubernetes. Microservices and event-driven architecture patterns. Background in AI governance, evaluation frameworks, and agent observability tooling. LEADERSHIP PROFILE The strongest candidates come from a Senior Software Engineer, Principal Engineer, or Tech Lead background who have grown into engineering management while retaining strong technical depth. You remain technically credible — you can engage deeply with architecture, debug hard problems, and set the bar — but you no longer need to be the strongest coder or AI specialist on the team.   KEY SKILLS 🏗   Software & Cloud Architecture Microservices · Kubernetes · AWS · CI/CD · Observability 🤖   AI & Agentic Systems LLMs · RAG · Orchestration · Tool Calling · Evaluation 🗂   Data Pipelines & Observability Snowflake · Event-driven · Monitoring · Logging 🧑‍💼   Engineering Leadership Coaching · Cross-functional · Technical Strategy · Delivery EDUCATION Bachelor's degree in Engineering or a related technical field (required). Master's degree, MBA, or equivalent graduate program (a plus). Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance. Opportunity to join a growing business, launching into its next phase of expansion and transformation. Collaborative culture of smart and hard-working people who support one another to get the job done. An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy. Compensation packages based on experience and desired skill set About QAD: QAD  |  Redzone  is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with  Champion Pace , achieving measurable productivity, resilience, and growth in just 90 days. QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.