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Manager of Product Development | AI Platform

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: EPIND Epicor India
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Software Project Mgr/ Lead, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

As Manager of Product Development, AI Platform at Epicor, you will lead 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 software built, delivered, and scaled. Your key role will shape enterprise workflows and business automation through cutting‑edge technologies, partnering with product, engineering leadership, and customers to deliver impactful solutions.

Responsibilities
  • Lead, mentor, and grow a global team of software engineers and Forward Deployed Engineers, fostering a high‑performance, artificial intelligence‑first culture.
  • Drive adoption of artificial intelligence across the software development lifecycle to improve engineering productivity, quality, and velocity.
  • Manage team execution, delivery, hiring, performance management, and career development while ensuring operational excellence.
  • Partner with Product Management and senior engineering leaders to define and deliver scalable artificial intelligence agent platforms and enterprise capabilities.
  • Design and contribute to cloud‑native solutions leveraging Microsoft Azure, Python, and C# technologies.
  • Build and lead a Forward Deployed Engineering function that collaborates directly with customers to validate use cases and accelerate artificial intelligence adoption.
  • Translate customer feedback and real‑world implementations into reusable platform features and product enhancements.
Qualifications
  • 8+ years of experience in software engineering with 3+ years 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 model, 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.
Preferred Experience
  • 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.
Benefits
  • Competitive pay and benefits.
  • Health and wellness benefits.
  • Internal mobility and career development opportunities.
  • Inclusive workplace and work‑life balance policies.
  • Global mobility support.
Equal Opportunities and Accommodations

Epicor is committed to creating an inclusive workplace. We are an equal‑opportunity employer.

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