Job Title: Manager | Generative AI | Gurugram | Artificial Intelligence & Data | AI Insights & Engagement
Honda Motorcycle & Scooter India Pvt. Ltd. | Senior AI Engineer JD
Job Description Senior AI Engineer - GenAI, Agentic AI & Enterprise AI Platforms Company
Honda Motorcycle & Scooter India Pvt. Ltd. (HMSI) Location
Manesar, Haryana, India Experience
10+ years total experience; minimum 5+ years in development and 3+ years in AI development
Role Summary: HMSI is seeking a Senior AI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions using LLMs, RAG architecture, Agentic AI, MCP server integrations, Codex/platform engineering practices, and Azure AI services. The role requires strong hands-on development capability, team leadership experience, DevOps maturity and practical implementation experience in production AI solutions.
1. Key Responsibilities
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Design, develop, and deploy enterprise-grade AI applications using LLMs, GenAI, RAG, Agentic AI, and Azure AI services.
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Build scalable RAG architectures integrating enterprise data sources, vector databases, embeddings, semantic search, and knowledge repositories.
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Develop AI agents and multi-agent workflows capable of reasoning, tool usage, workflow execution, human-in-the-loop control, and enterprise automation.
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Work with LLM platforms and AI development tools such as GPT, Claude, Gemini, Llama, Codex, Azure OpenAI, and related SDKs/frameworks.
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Design and implement MCP server-based integrations for secure tool access, context exchange, and enterprise system connectivity.
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Lead end-to-end development of AI products including APIs, microservices, orchestration layers, backend services, and reusable AI components.
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Establish CI/CD pipelines, DevSecOps practices, GitHub workflows, automated testing, release controls, and production deployment practices.
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Lead, train and mentor a team of developers, conduct code reviews, define engineering standards and ensure timely delivery of quality solutions.
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Collaborate with business teams, architects, IT teams and vendors to convert business requirements into scalable AI solutions.
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Ensure AI solutions follow Responsible AI, security, compliance, monitoring, observability, cost optimization and lifecycle management standards.
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Train business users to use AI development tool to develop Low to medium complexity requirement by themselves and establish the mechanism to govern the application build by business users.
2. Qualification
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Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Engineering, or related discipline.
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10+ years of overall technology experience in software engineering, enterprise application development, cloud platforms, or AI solution delivery.
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Minimum 5+ years of hands-on developer experience in enterprise level production-grade application development.
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Minimum 3+ years of hands-on AI/GenAI development experience, including LLM-based application development.
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Proven experience leading a team of developers or engineers for enterprise-scale software or AI solution delivery.
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Hands-on experience working in Azure environment and deploying cloud-native applications or AI workloads.
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Experience in Agile delivery, solution design, technical documentation, stakeholder communication, and production support.
Honda Motorcycle & Scooter India Pvt. Ltd. | Senior AI Engineer JD
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Microsoft Azure AI, Azure Developer, Azure Solution Architect, GitHub, or DevOps certification will be preferred.
3. Mandatory Skills
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AI/GenAI: LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, semantic search, AI agents, multi-agent systems, Agentic AI, LLMOps/MLOps concepts.
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Platforms & Frameworks: Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Microsoft Copilot Studio, Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, OpenAI/Azure AI SDKs.
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MCP & Tooling: Model Context Protocol (MCP), MCP server design/integration, tool calling, function calling, context orchestration, Codex or AI coding platform exposure.
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Development: Python mandatory; strong knowledge of APIs, microservices, backend development, C#, JavaScript/TypeScript, SQL, and integration patterns.
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Cloud & Azure: Azure Functions, Azure App Service, Azure Container Apps, AKS, Azure Storage, Azure Data Factory/Fabric, Key Vault, networking, identity, and security basics.
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DevOps: GitHub/GitHub Enterprise, GitHub Actions, CI/CD, Docker, Kubernetes, automated testing, deployment pipelines, monitoring, logging, and release management.
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Architecture: Cloud-native architecture, scalable service design, enterprise integration, data pipelines, API management, observability, and secure AI application design.
4. Key Competencies
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Technical leadership with ability to guide developers and influence solution direction.
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Strong analytical thinking, problem solving, debugging, and system optimization capability.
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Ability to work with business stakeholders and translate business needs into practical AI solutions.
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Strong ownership, accountability, delivery discipline, and quality orientation.
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Ability to balance innovation with governance, security, reliability, and production readiness.
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Excellent communication, documentation, mentoring, and cross-functional collaboration skills.
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Continuous learning mindset with ability to evaluate emerging AI tools, models, and development practices.
5. Success Criteria
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Lead delivery of production-grade AI use cases as per business requirement, RAG solutions and enterprise AI applications within defined business timelines.
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Establish reusable AI engineering frameworks, templates, coding standards and DevOps practices for HMSI AI development projects.
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Build and mentor a capable AI development team with improved delivery quality, speed and maintainability.
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Improve reliability, security, monitoring and lifecycle management of AI applications deployed on Azure.
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Demonstrate measurable business value through AI automation, productivity improvement, decision support and user adoption.
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Create a scalable foundation for future GenAI, Agentic AI, Copilot and enterprise AI platform initiatives.
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Train HMSI associated to develop AI use case using AI development no code tools