Manager of Product Development | AI Platform

Epicor • Herndon, VA

11d • Hybrid

About The Position

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.

Requirements

• 8+ years’ experience in software engineering
• 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

Nice To Haves

• 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
• Hands-on experience with Azure AI Services, Azure OpenAI, Azure Kubernetes Service, Azure Functions, and Cosmos DB
• Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools
• Familiarity with emerging artificial intelligence ecosystems and agentic architectures
• Experience scaling engineering teams and delivering highly available enterprise platforms

Responsibilities

• 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

Benefits

• Comprehensive health and wellness benefits designed to support your overall well-being.
• Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
• Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
• Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
• Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
• Comprehensive support for international relocations and permanent residency processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed