- Partner with engineering, product, cloud, security, operations, and business teams to identify practical AI opportunities and support implementation from concept through delivery.
- Provide hands-on technical guidance for AI initiatives, including solution design, architecture trade-offs, integration patterns, and implementation 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.
- Support architecture reviews for AI initiatives and provide recommendations that improve scalability, reliability, maintainability, observability, and responsible AI practices.
- 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.
- 5+ years of experience in Software Engineering, architecture, cloud architecture, or enterprise architecture.
- 2+ years of experience designing, implementing, or enabling AI and/or machine learning solutions.
- 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 of AI security, privacy, compliance, and responsible AI principles.
- Experience with DevOps, MLOps, 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.
- Experience leading AI transformation or enablement initiatives across large organizations.
- Experience implementing AI Centers of Excellence (CoE).
- Azure and AWS Certificaitons 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.
- Familiarity with ERP, supply chain, manufacturing, distribution or enterprise business applications is a great plus!
#LI-SH1 #Hybrid
About Epicor
At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
We’re Proactive, Proud, Partners.
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.
Competitive Pay & Benefits
Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
Global Mobility: Comprehensive support for international relocations and permanent residency processes.
Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter:
Chaithra D BSkills Required
- 5+ years experience in software engineering, architecture, cloud architecture, or enterprise architecture
- 2+ years experience designing, implementing, or enabling AI or machine learning solutions
- 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 of AI security, privacy, compliance, and responsible AI principles
- Experience with DevOps, MLOps, and AI operational practices
- Strong facilitation, mentoring, and stakeholder management skills
- Excellent communication and presentation skills for technical and non-technical audiences
- Ability to influence without direct authority and drive organizational change
- Experience leading AI transformation or enablement initiatives across large organizations
- Experience implementing AI Centers of Excellence (CoE)
- Azure and AWS AI-related certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect)
- Experience creating training programs and technical enablement materials
- Familiarity with ERP, supply chain, manufacturing, distribution or enterprise business applications
Epicor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Epicor and has not been reviewed or approved by Epicor.
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Healthcare Strength — Health coverage (medical, dental, vision) is characterized as decent to solid, complemented by wellness resources. Company materials highlight health and wellness programming alongside core plans.
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Leave & Time Off Breadth — Flexible or unlimited PTO exists in U.S. roles, and the organization emphasizes taking time to recharge. When team norms support it, the flexibility is considered a meaningful perk.
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Retirement Support — A 401(k) with company match is available as part of the standard offering. The match level is generally viewed as modest but serviceable.
Epicor Insights
What We Do
We’re the Digital Brains of Our Customers’ Operations We help businesses stay future-ready with cognitive ERP that connects people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
Why Work With Us
Our policies are built on mutual trust, support, and a commitment to maintaining a healthy work-life balance. That's why we encourage you to take the time off you need to rest, recharge, and reconnect.
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