AppSierra Solutions - AI Engineering Manager

About the Role : We are seeking an AI Engineering Manager (India) to lead our India-based AI engineering team, driving architecture, development, and delivery of enterprise AI solutions across Midera's global operations. Key Responsibilities : - Lead and manage the India-based AI engineering and implementation team. - Recruit, interview, hire, onboard, and develop AI engineers and developers. - Provide day-to-day technical leadership, mentoring, and coaching. - Personally contribute to development of high-priority AI applications and integrations. - Design and architect enterprise-grade AI applications, agents, and copilots. - Lead technical design for solutions involving LLMs, generative AI, and RAG. - Partner with the U.S.-based Manager, Enterprise AI on team structure, priorities, and resource planning. - Establish coding and engineering standards across projects. Required Qualifications : - Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, Engineering, or a related discipline. - Approximately 10+ years of professional software engineering, cloud engineering, data engineering, AI/ML, or related technical experience. - Strong Python development skills with hands-on software engineering experience. - Experience designing and delivering production-grade enterprise applications. - Demonstrated experience developing generative AI or LLM-based applications and working with LLMs, RAG, embeddings, and vector search. - Experience integrating applications with APIs, databases, cloud platforms, and enterprise applications. - Strong understanding of software architecture, authentication, authorization, APIs, security, source control, and CI/CD. - Experience performing code reviews and technical design reviews. Nice to have : - Experience with Microsoft Copilot Studio, Microsoft Copilot, Azure AI, Azure OpenAI, Microsoft Fabric, or Microsoft Power Platform. - Experience with Dynamics 365, CRM systems, or enterprise data platforms. - Experience in manufacturing, industrial technology, engineering, or supply-chain environments. - Knowledge of MLOps, LLMOps, or cloud-based AI operations.