3 Days Left: Lead AI Engineer

4 weeks ago

Bengaluru, India Ecolab Global Services Full time

Job Description About the Role Youll 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. Youll 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. Day-to-Day Work Responsibilities - Architect and lead development of scalable, production-grade agentic AI systems. - Design serverless, event-driven workflows usingAzure Functions,Logic Apps, andPower Automate. - Build and optimize ML models for predictive analytics, anomaly detection, and recommendations usingAzure ML,Databricks, andPython. - Integrate agents with enterprise platforms such asSAP HANA , Salesforce , Snowflake , Kafka , andUiPath. - Ensure observability and reliability throughAzure Monitor, logging, and alerting frameworks. - Define and enforce architecture patterns, reusable components, and governance standards. - Lead code reviews, technical design sessions, and agile ceremonies. - LeverageMicrosoft AI Foundryto 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 You will 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 with you: - 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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