What You Will Do

- 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.

What You Will Need to Succeed

- 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.

Desired Skills

- Experience leading AI transformation or enablement initiatives across large organizations.
- Experience implementing AI Centers of Excellence (CoE).
- 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.
- Familiarity with ERP, supply chain, manufacturing, distribution or enterprise business applications is a outstanding plus!

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Enablement Architect, Senior (Karnataka)
🏢 Epicor
📍 Karnataka