Senior Product Developer - Fullstack (C#, .Net, Angular) , AI
Epicor Software Corporation4 days ago
Bengaluru, IndiaSenior
Responsibilities
- Partner with cross-functional teams to identify practical AI opportunities and support delivery.
- Provide hands-on technical guidance covering AI solution design, architecture trade-offs, integration patterns, and implementation practices.
- Develop reusable AI reference architectures, implementation guides, design patterns, sample solutions, and enablement materials.
- Contribute to AI standards, governance, security, privacy, compliance, evaluation, monitoring, and responsible AI practices.
- Define guidance for approved AI platforms and open-source LLM models, including operational and cost considerations.
- Create and deliver AI training, workshops, demonstrations, office hours, and communities of practice.
- Integrate AI capabilities into product, support, internal, and business workflows.
- Collaborate with cloud and platform teams on shared AI platform capabilities, reusable services, and developer enablement.
- Establish processes to track AI usage, cost, adoption, lessons learned, and improvement opportunities.
- Define success measures for AI initiatives, including productivity, quality, customer, and operational outcomes.
- Stay current on emerging AI technologies and translate relevant developments into recommendations.
- Mentor and coach team members on AI adoption, responsible implementation, and effective use of AI tools.
Requirements
- At least 6 years of experience in software engineering, architecture, cloud architecture, or enterprise architecture.
- At least 2 years of experience designing, implementing, or enabling AI.
- Experience with full-stack development using C#, .NET, and Angular.
- Strong understanding of generative AI, large language models, 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.
- Knowledge of DevOps concepts and AI operational practices.
- Strong facilitation, mentoring, stakeholder management, communication, and presentation skills.
- Ability to influence without direct authority and drive organizational change.
- Azure or AWS AI-focused certifications such as Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or equivalent are desired.
- Experience with enterprise SaaS products, cloud platforms, technical enablement materials, training programs, or large-scale AI transformation initiatives is desired.
- Familiarity with ERP, supply chain, manufacturing, distribution, or enterprise business applications is a plus.
Benefits
- Comprehensive health and wellness benefits.
- Mentorship, continuing education, focused career goal setting, and internal mobility opportunities.
- Free LinkedIn Learning licenses and a mentoring program.
- Geographically specific education support programs.
- Inclusive global workplace with diverse collaboration.
- Work-life balance policies encouraging time off and personal well-being.
- Support for international relocations and permanent residency processes.