We are having an excellent job chance for AI Engineer role at Ghansoli Navi Mumbai location.

Key Responsibilities

- AI Solution Development Design and develop AI applications, copilots, and multi-agent systems aligned with approved business requirements. • Build AI-powered assistants using Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Graph, Power Platform and Azure Services.
- Develop reusable AI components and shared frameworks.
- Translate user stories and functional requirements into working AI solutions.
- Agentic AI Engineering Design and develop multi-agent systems using approved architecture.
- Implement orchestration frameworks, agent collaboration patterns, tool calling, memory management, and human-in-the-loop controls.
- Design agent interfaces, workflows, guardrails, and monitoring capabilities.
- Participate in architecture reviews and technical governance.
- Prompt Engineering & Model Development Create, test, optimize, and document prompts.
- Evaluate AI model performance.
- Develop Retrieval Augmented Generation (RAG) solutions.
- Implement vector search and semantic retrieval capabilities.
- Optimize accuracy, latency, and cost.
- Data & Integration Engineering Integrate AI products with enterprise systems including SAP S/4HANA, JD Edwards, Planview, SharePoint, Teams, Microsoft 365 and engineering platforms.
- Design APIs and data pipelines.
- Ensure secure handling of enterprise data.
- Cloud & Platform Engineering Deploy solutions on approved cloud environments.




- Implement CI/CD pipelines.
- Configure monitoring, logging, and alerting.
- Support infrastructure automation and environment management.
- LLMOps / MLOps Establish deployment pipelines for AI products.
- Manage AI lifecycle activities: development, testing, validation, deployment, monitoring and retirement.
- Monitor token consumption and cloud costs.
- Implement model governance and version control.
- Security, Risk & Compliance Ensure compliance with Group AI Policy, Energy AI Governance SOP, cybersecurity standards, data privacy requirements and EU AI Act requirements.
- Participate in risk assessments and architecture reviews.
- Support audit and compliance activities.
- Quality Assurance Conduct model testing and validation.
- Measure accuracy and business performance.
- Execute AI evaluation frameworks.
- Document known limitations and mitigation actions.
- Documentation & Knowledge Management Maintain technical documentation.
- Create architecture diagrams and deployment guides.
- Produce support documentation and training materials.
- Ensure solutions can be maintained independently of individual developers.
- Adoption & Continuous Improvement Support pilots, Proofs of Concept (PoCs), and production rollouts.
- Troubleshoot production issues.
- Analyze usage patterns and user feedback.
- Recommend enhancements that improve business outcomes.

If interested kindly share your updated CV on [email protected]

📌 Artificial Intelligence Engineer (Navi Mumbai)
🏢 John Cockerill
📍 Navi Mumbai