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

Epicor Software Corporation; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Health and Wellness

Internal Mobility

Career Development

Education Support

Inclusive Workplace

Work-Life Balance

Global Mobility

Job summary

Epicor Bengaluru seeks an experienced AI Architect to collaborate with engineering, product, and security teams, designing practical AI solutions and reference architectures. You will guide AI platform usage, ensure governance and responsible AI practices, and enable teams through training and enablement materials.

You will influence AI adoption across SaaS products, drive best practices, and stay ahead of trends to deliver measurable business value while maintaining enterprise standards for

Qualifications

• 6+ years of experience in Software Engineering, architecture, cloud architecture, or enterprise architecture.
• 2+ years designing, implementing, or enabling AI.
• Experience in Full stack development – C#, .Net and Angular
• Strong understanding of Generative AI, 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.

Responsibilities

• Partner with engineering, product, cloud, security, operations, and business teams to identify 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.

Skills

Software Engineering

Architecture

Cloud Architecture

Enterprise Architecture

Generative AI

LLMs

AI Agents

RAG Architectures

Prompt Engineering

Azure AI Services

OpenAI

Claude

AWS Bedrock

Google Vertex AI

APIs

Cloud-native

SaaS Platforms

AI Security

Privacy

Compliance

DevOps Concepts

AI Operations

Facilitation

Mentoring

Stakeholder Management

Communication

Influence Without Authority

Tools

C#

.NET

Angular

Job description

What You Will Do

• Partner with engineering, product, cloud, security, operations, and business teams toidentifypractical AI opportunities and supportimplementationthrough delivery.

• Provide hands-on technical guidance for AI initiatives, including solution design, architecture trade-offs, integration patterns, andimplementation ofbest practices.

• Develop andmaintainreusable 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 andopen-sourceLLM 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.

• Helpestablishlightweight 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 inSoftwareEngineering,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.

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

• Knowledge ofDevOpsConceptsand 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 AWSCertificationsfocused on AIlikeAzure 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,distributionor enterprise business applicationsis 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 whilemaintainingenterprise standards for security, compliance, scalability, and operational excellence.

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.