Senior AI Engineer

1 day ago

INDBangalore India Ecolab Food Safety & Hygiene Solutions Private Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Senior AI Engineer

About the Role

You'll own the architecture, development, and deployment of next-generation scalable agentic AI systems that reshape how organizations operate. These solutions will autonomously orchestrate multi-step workflows, analyze real-time data streams, surface predictive insights, and embed decision-making across finance, sales, operations, and more. You'll partner with product, data science, RPA, security, and business teams to drive end-to-end impact.

Responsibilities

  • Develop robust, production-grade AI agents tailored to solve real-world enterprise challenges.
  • Collaborate across technical and business teams to ensure agent success at every stage.
  • Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.
  • Build data pipelines and train ML models (predictive analytics, anomaly detection, recommendation engines) using Azure ML, Databricks, and Python.
  • Integrate AI agents with enterprise systems like SAP HANA, Salesforce, Snowflake, Kafka, and RPA platforms (UiPath) for seamless data exchange.
  • Establish observability, monitoring, and alerting using Azure Monitor to meet SLAs and reliability targets.
  • Define architecture patterns, reusable components, and governance frameworks to ensure security, compliance, and scalability.
  • Lead code reviews, mentor junior engineers, and champion best practices in version control (Git) and agile ceremonies.
  • Leverage Microsoft AI Foundry to build and deploy AI agents, ensuring they meet enterprise standards and requirements.
  • Copilot Studio (Optional)

Cross-Functional Collaboration

Work closely with:

  • Data Scientists & Machine Learning Engineers – for model development and integration
  • Scrum Masters, QA Engineers & DevOps Personnel – to ensure smooth delivery and deployment
  • Product Managers – aligning agent capabilities with business goals
  • UX Designers – crafting intuitive agent interactions and interfaces
  • Enterprise Architects – ensuring scalability and ecosystem alignment
  • Security & Compliance Teams – meeting regulatory and governance requirements
  • Business Stakeholders / SMEs – defining agent 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

What You Bring

  • A strong sense of ownership and responsibility
  • Ability to work autonomously within cross-functional teams
  • Maturity in navigating complex systems and dynamic priorities
  • Passion for building transformative AI systems and solving meaningful problems
Experience LevelSenior Level

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