Lead Agentic AI Developer

7 days ago

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

Education/Work Experience:

Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience.

Independence level/Reports to:

Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

Responsibilities:

  • Design, develop and deploy agentic solutions and conversational AI agents.
  • Leverage Databricks and/or Azure AI foundry
  • Integrate the agents with enterprise systems, data sources, and APIs for contextual, real-time responses.
  • Optimize conversation flows, implement prompt engineering best practices, and utilize analytics for continuous improvement.
  • Collaborate and communicate with business analysts, data scientists, and stakeholders to understand requirements and translate them into intelligent agent solutions.
  • Ensure compliance with data privacy, security, and governance policies across all developed solutions.

Skills:

  • Strong communication skills
  • Software programing and development using Python.
  • Experience with LLM's and python agentic frameworks.
  • Experience in Databricks or Azure AI foundry
  • Certification on Azure Open AI or MS AI Fundamentals would be highly preferred.
  • Azure Function App - for creating serverless functions to handle event-driven tasks.
  • AI Model Development - designing, training, and deploying machine learning models.
  • Familiarity with various algorithms and techniques for supervised, unsupervised, and reinforcement learning.
  • Experience with cloud platforms (preferably MS Azure) for deploying and managing AI solutions.
  • Strong understanding of software development principles, version control (Git), and agile methodologies.

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