Artificial Intelligence Engineer

We are having an excellent job opportunity 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]