Senior Product Developer - Fullstack (C#, .Net, Angular) , AI

About this role

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Skills you'll use

What you'll do

• Partner with engineering, product, cloud, security, operations, and business teams to identify practical AI opportunities and support implementation through delivery.
• Provide hands-on technical guidance for AI initiatives, including solution design, architecture trade-offs, integration patterns, and implementation of best practices.
• Develop and maintain reusable AI reference architectures, implementation guides, design patterns, sample solutions, and enablement materials.
• Contribute to AI standards, governance practices, and responsible AI guidance in partnership with architecture, security, legal, privacy, and compliance stakeholders.
• Help define practical guidance for the use of approved AI platforms and open-source LLM models, including security, compliance, evaluation, and operational considerations.
• Create and deliver AI training, workshops, demos, office hours, and communities of practice to help teams build confidence and capability with AI technologies.
• Work with product development, support, and internal teams to integrate AI capabilities into workflows that improve productivity, product capabilities, and customer experiences.
• Collaborate with cloud and platform teams to provide input into shared AI platform capabilities, reusable services, and developer enablement needs.
• Promote AI development best practices, including testing, evaluation, monitoring, observability, cost awareness, and operational readiness.
• Help establish lightweight processes to track AI usage, cost, adoption, lessons learned, and continuous improvement opportunities.

Who can apply

• Azure and AWS Certifications focused on AI like Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or equivalent certifications.
• Experience with enterprise SaaS products and cloud platforms.
• Experience creating training programs and technical enablement materials.
• Experience leading AI transformation or enablement initiatives across large organizations.
• Familiarity with ERP, supply chain, manufacturing, distribution or enterprise business applications is a great plus!
• Additional Notes
• The ideal candidate is passionate about helping others succeed with AI. Success in this role will be measured not only by the quality of AI solutions delivered, but by the organization's ability to consistently adopt AI best practices, accelerate innovation, and deliver measurable business value across products and business functions.
• This role serves as a catalyst for AI transformation, helping teams across the SaaS organization build confidence, capability, and consistency in their use of AI technologies while maintaining enterprise standards for security, compliance, scalability, and operational excellence.

Perks & benefits

About Epicor

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