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.
Day-to-Day Work 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
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
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, benefits, 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.