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 Our Commitment to a Culture of Inclusion Belonging Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment We will recruit hire promote transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment compensation advantages working conditions and opportunities for advancement Ecolab will not discriminate against any associate or applicant for employment because of race religion color creed national origin citizenship status sex sexual orientation gender identity and expressions genetic information marital status age or disability

📌 Lead Ai Engineer (Karnataka)
🏢 Ecolab
📍 Karnataka