Lead AI Engineer

5 days ago

Bengaluru, Karnataka, India Ecolab Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role

You'll lead the architecture, development, and deployment of next-generation agentic AI systems that transform enterprise operations. These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains like finance, sales, and operations. You'll guide cross-functional teams, mentor engineers, and ensure technical excellence across all stages of delivery. Microsoft AI Foundry will be a key platform for agent development, and Copilot Studio may be used optionally for few use cases.

Responsibilities

  • Architect and lead development of scalable, production-grade agentic AI systems.
  • Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.
  • Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.
  • Integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath.
  • Ensure observability and reliability through Azure Monitor, logging, and alerting frameworks.
  • Define and enforce architecture patterns, reusable components, and governance standards.
  • Lead code reviews, technical design sessions, and agile ceremonies.
  • Leverage Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards.

Leadership Responsibilities

  • Mentor and coach junior engineers, fostering a culture of innovation and technical excellence.
  • Drive cross-team collaboration and alignment on agentic AI strategy and execution.
  • Own delivery timelines, quality benchmarks, and stakeholder communication.
  • Champion best practices in DevOps, CI/CD, and model lifecycle management.
  • Stay ahead of trends in AI, machine vision, and IoT to guide strategic decisions.

Cross-Functional Collaboration

Work closely with:

  • Data Scientists & ML Engineers – for model development and integration
  • Product Managers & UX Designers – aligning agent capabilities with user needs
  • Enterprise Architects & DevOps Engineers – ensuring scalability and deployment efficiency
  • Security & Compliance Teams – meeting regulatory and governance requirements
  • Business Stakeholders & SMEs – defining use cases and validating outcomes
  • Change Management & Enablement Teams – supporting adoption and training efforts

Technology & Tools

  • Languages & Platforms: Python, Power Apps, Power Automate, Databricks, Snowflake
  • Enterprise Systems: SAP HANA, Kafka, UiPath
  • AI Platforms: Microsoft AI Foundry (highly preferred), Copilot Studio (optional)
  • Cloud & ML Tools: Azure Machine Learning, Azure DevOps, GitHub
  • Data & Observability: Vector Databases, Azure Monitor
  • Vision & IoT: Azure IoT Hub, OpenCV, TensorFlow, PyTorch (for edge and vision-based agents)

What You Bring

  • Proven experience leading AI engineering teams and delivering enterprise-grade solutions
  • Strong technical depth in AI/ML, cloud platforms, and agentic system design
  • Ability to navigate ambiguity, drive clarity, and influence across functions
  • Passion for building transformative AI systems that solve meaningful problems

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