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Ai Engineer (Generative Ai / MLOps / Ai Agents)

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NTT DATA

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Location:
India

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Category:
IT - Software Development

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Salary:

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Job Description:

We are seeking a skilled and motivated AI Engineer (Mid-Level) to join us. This role sits at the intersection of Generative AI, MLOps, and Intelligent Agent development — and is responsible for designing, building, and deploying AI-powered solutions that directly support our P&C insurance operations. You will work closely with our data engineering, analytics, and business teams to deliver LLM-powered applications, automated AI agents, and production-ready ML pipelines across claims, underwriting, and actuarial domains. This is a hands-on, delivery-focused role for an engineer who is comfortable moving from architecture whiteboard to working code.

Job Responsibility:

  • Design, fine-tune, and deploy Large Language Models (LLMs) for insurance-specific use cases
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases
  • Develop prompt engineering frameworks and evaluation pipelines
  • Integrate LLM capabilities with internal data platforms via LangChain, LlamaIndex, or Semantic Kernel
  • Evaluate and benchmark foundational models
  • Architect and implement autonomous AI agents
  • Build agentic frameworks using patterns such as ReAct, Chain-of-Thought, and Tool-Augmented Agents
  • Design human-in-the-loop checkpoints and escalation logic
  • Integrate agents with internal APIs, data platforms, and enterprise systems
  • Develop guardrails, monitoring, and audit logging
  • Build and maintain end-to-end MLOps pipelines
  • Implement CI/CD pipelines for ML models
  • Deploy models as REST APIs or batch inference services
  • Establish model monitoring frameworks
  • Manage the model registry and lineage tracking
  • Collaborate with data engineering teams
  • Work closely with business analysts, actuaries, underwriters, and claims professionals
  • Participate in Agile/Scrum ceremonies
  • Produce clear technical documentation
  • Mentor junior engineers

Requirements:

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative field
  • 3–5 years of professional experience in AI/ML engineering
  • Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • Proven experience implementing MLOps pipelines in cloud environments (Azure preferred)
  • Experience developing AI agents or automation workflows using agentic frameworks
  • Python (expert level)
  • PySpark and Delta Lake
  • SQL (T-SQL / Spark SQL)
  • Git

Nice to have:

  • Experience with P&C insurance workflows
  • Familiarity with insurance regulatory requirements including NAIC guidelines and data privacy standards (CCPA, GDPR)
  • Experience implementing responsible AI principles
  • Microsoft certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100)
  • Exposure to Data Mesh patterns
  • Familiarity with Databricks Model Serving and Mosaic AI capabilities
  • Master's degree

Additional Information:

Job Posted:
April 23, 2026

Work Type:
Hybrid work
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