Manager of Product Development AI Platform - epicorsoftware

As Manager of Product Development, AI Platform at Epicor, you will be leading the development of a next-generation artificial intelligence agent platform while building and managing a high-impact Forward Deployed Engineering (FDE) team. You will drive the adoption of artificial intelligence across the organization, embedding intelligent development practices into how software is built, delivered, and scaled. You will play a key role in shaping enterprise workflows and business automation through cutting-edge technologies, while partnering with product, engineering leadership, and customers to deliver impactful solutions.

What you will be doing:

Leading, mentoring, and growing a global team of software engineers and Forward Deployed Engineers, fostering a high-performance, artificial intelligence–first culture

Driving adoption of artificial intelligence across the software development lifecycle to improve engineering productivity, quality, and velocity

Managing team execution, delivery, hiring, performance management, and career development while ensuring operational excellence

Partnering with Product Management and senior engineering leaders to define and deliver scalable artificial intelligence agent platforms and enterprise capabilities

Designing and contributing to cloud-native solutions leveraging Microsoft Azure, Python, and C# technologies

Building and leading a Forward Deployed Engineering function that collaborates directly with customers to validate use cases and accelerate artificial intelligence adoption

Translating customer feedback and real-world implementations into reusable platform features and product enhancements

What you will likely bring:

8+ years’ experience in software engineering with 3+ years’ experience managing engineering teams

Proven experience leading enterprise platform, cloud-native, or artificial intelligence–focused development teams

Strong expertise in Python and C# development

Deep experience designing and operating distributed cloud applications on Microsoft Azure

Experience building or managing artificial intelligence, machine learning, generative AI, large language models, or workflow automation solutions

Strong understanding of modern software architecture including APIs, microservices, event-driven systems, and enterprise integration patterns

Demonstrated success driving artificial intelligence adoption and development practices within engineering organizations

Strong leadership, communication, and stakeholder management skills with the ability to influence across teams and customers

What could set you apart:

Experience building artificial intelligence agent frameworks, multi-agent systems, or orchestration platforms

Experience integrating artificial intelligence with enterprise applications such as ERP systems or complex business platforms