Key Responsibilities
- Lead and mentor a team of Product Developers, providing technical direction, coaching, and career development.
- Drive the technical vision and execution for Prism and AI-enabled platform initiatives.
- Define engineering best practices, coding standards, and architectural guidelines.
- Collaborate with Product Management, UX, Architecture, and Engineering teams to deliver scalable AI-powered experiences.
- Guide the team in designing, building, and integrating AI agents and intelligent workflows into enterprise applications.
- Review solution designs, code quality, and technical deliverables to ensure scalability, maintainability, and security.
- Foster a culture of innovation, experimentation, and continuous learning around AI technologies.
- Plan team capacity, prioritize work, manage risks, and ensure timely delivery of commitments.
- Identify skill gaps and create development plans for engineers through mentoring and training.
- Support hiring activities, technical interviews, onboarding, and team growth.
- Evaluate emerging AI technologies and recommend adoption where they create measurable business value.
Required Skills
- 12+ years of software engineering experience.
- 3+ years of people management experience leading software development teams.
- Strong experience with Angular, JavaScript, and TypeScript.
- Working knowledge of Python.
- Experience building enterprise-scale applications and distributed systems.
- Strong understanding of REST APIs and modern application architectures.
- Experience working in Agile development environments.
- Excellent problem-solving, communication, and stakeholder management skills.
Preferred Skills
- Experience with Generative AI, Large Language Models (LLMs), AI agents, or intelligent automation.
- Familiarity with AI development frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar.
- Experience integrating AI services (OpenAI, Azure AI, Anthropic, etc.) into enterprise applications.
- Understanding of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering.
- Experience with cloud platforms such as Azure or AWS.
- Knowledge of DevOps, CI/CD, and engineering productivity practices.
Leadership Competencies
- Technical leadership and architectural decision-making.
- Coaching, mentoring, and talent development.
- Customer-centric mindset.
- Strong execution and delivery focus.
- Strategic thinking with the ability to balance innovation and business priorities.
- Excellent collaboration and cross-functional leadership.
- Ability to build and scale high-performing engineering teams.
Qualifications
- Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
- 12+ years of software development experience.
- 3+ years of engineering management experience.
- Demonstrated experience delivering enterprise software products.
- Experience leading AI initiatives or engineering teams working with AI technologies is highly desirable.
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:
Sumanth Godha (Sumanth Godha)Skills Required
- 12+ years of software engineering experience
- 3+ years of people/engineering management experience
- Strong experience with Angular, JavaScript, and TypeScript
- Working knowledge of Python
- Experience building enterprise-scale applications and distributed systems
- Strong understanding of REST APIs and modern application architectures
- Experience working in Agile development environments
- Excellent problem-solving, communication, and stakeholder management skills
- Bachelor's degree in computer science, engineering, or equivalent practical experience
- Demonstrated experience delivering enterprise software products
- Experience leading AI initiatives or engineering teams working with AI technologies
- Experience with Generative AI, LLMs, AI agents, or intelligent automation (e.g., LangChain, Semantic Kernel, AutoGen, CrewAI)
- Experience integrating AI services (OpenAI, Azure AI, Anthropic, etc.)
- Understanding of RAG, vector databases, embeddings, and prompt engineering
- Experience with cloud platforms such as Azure or AWS
- Knowledge of DevOps, CI/CD, and engineering productivity practices
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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