Manager, Engineering (AI & Agentic Platform)

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 YOULL 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.

Qualifications :

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

• Bachelors degree in Engineering or a related technical field (required).
• Masters degree MBA or equivalent graduate program (a plus).

Additional Information :

• 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. QADs 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. 

Remote Work :

No

Employment Type :

Full-time