What You Will 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. 

• Partner with teams to define success measures for AI initiatives, including productivity gains, quality improvements, customer impact, and operational efficiency. 

• Stay current on emerging AI technologies, tools, and practices, and translate relevant trends into practical recommendations for engineering and business teams. 

• Mentor and coach team members on practical AI adoption, responsible implementation, and effective use of AI tools in day-to-day work. 

What You Will Need to Succeed 

• 6+ years of experience in Software Engineering, architecture, cloud architecture, or enterprise architecture. 

• 2+ years of experience designing, implementing, or enabling AI. 
• Experience in Full stack development – C#, .Net and Angular

• Strong understanding of Generative AI, Large Language Models (LLMs), AI Agents, RAG architectures, and prompt engineering. 

• Experience with Azure AI Services, OpenAI, Claude, AWS Bedrock, Google Vertex AI, or similar AI platforms. 

• Strong knowledge of modern software engineering practices, APIs, cloud-native architectures, and SaaS platforms. 

• Experience developing enterprise standards, governance frameworks, and architectural guidance. 

• Understanding AI security, privacy, compliance, and responsible AI principles. 

• Knowledge of DevOps Concepts and AI operational practices. 

• Strong facilitation, mentoring, and stakeholder management skills. 

• Excellent communication and presentation skills for both technical and non-technical audiences. 

• Ability to influence without direct authority and drive organizational change. 

Desired Skills 

• 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. 

Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

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