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IND - Senior Staff Engineer - AI

The Hartford239 open roles

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India GCC-Puppalaguda Village
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Your applicationOpen nowIND - Senior Staff Engineer - AIThe Hartford · India GCC-Puppalaguda Village
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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. The Hartford postings stay open a median of 16 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

The Hartford median: 16 days open

The posting

IND Senior Staff Software Engineer - GCC020

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Job Description: Lead AI Engineer

  • Location: Hyderabad, India
  • Employment Type: Full-Time
  • Experience Level: 10-15 Years

Position Overview

The Full Stack Developer will contribute to building reusable platforms and shared services in support of enterprise applications.

  • Python, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Generative AI, LLMs, RAG, LangChain, Vector Databases
  • Cloud platforms (Azure AI, AWS AI, GCP Vertex AI)
  • MLOps (MLflow, Kubeflow, Azure ML)
  • Data Engineering and APIs
  • Leadership, stakeholder management, and strategic thinking

Key Responsibilities

  • Define the AI/ML roadmap aligned with business objectives.
  • Identify high-value AI use cases and opportunities.
  • Design scalable AI architectures and platform solutions.
  • Evaluate emerging AI technologies, tools, and frameworks.

Required Skills & Experience

  • Build and maintain AI deployment pipelines.
  • Implement model monitoring, drift detection, and retraining strategies.
  • Automate CI/CD for AI models and services.
  • Ensure scalability, resilience, and operational excellence

Nice to Have

  • Experience with IDP (Intelligent Document Processing) or GenAI document platforms.
  • Exposure to OCR, NLP, or machine learning workflows.
  • Docker or Kubernetes knowledge.
  • Relevant AWS certifications.
  • Familiarity with insurance or financial industries

What We Offer

  • Collaborative work environment with global teams.
  • Competitive compensation and comprehensive benefits.
  • Continuous learning and growth opportunities in geospatial and risk analytics technologies.

About Us | Our Culture | What It’s Like to Work Here

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