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IND Senior Software Engineer

1 month ago Hyderabad, India

IND Senior Software Engineer - GCC123
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.

Senior Applied AI Scientist

We are seeking a Senior Applied AI Scientist who will contribute to complex AI programs by owning defined workstreams or sub-components, delivering applied machine learning, generative AI, and emerging agentic AI solutions. This role applies established enterprise standards for Responsible AI, evaluation, and MLOps while partnering with cross-functional stakeholders to translate AI capabilities into well-governed, measurable business value.

Primary Job Responsibilities

  • Design, build, and deliver applied ML, generative, and agentic AI solutions for RAG, conversational assistants, document understanding, and classification as part of larger programs.
  • Drive assigned workstreams from problem framing and experimentation through deployment and monitoring, operating within approved enterprise AI platforms and delivery standards.
  • Apply Responsible AI practices across the lifecycle, including privacy, governance, fairness, transparency, explainability, grounding checks, hallucination mitigation, and safety-by-design; coordinate required reviews with Legal, Compliance, and Model Risk partners.
  • Contribute to knowledge base engineering, including document ingestion, metadata management, versioning, refresh processes, and auditability to improve retrieval quality and grounded AI behavior.
  • Author and iterate prompts, few-shot patterns, and structured outputs using approved templates; implement safe tool-use constraints, guardrails, HITL controls, and escalation paths aligned to use-case requirements.
  • Define and execute evaluation plans for assigned components, selecting metrics and thresholds aligned to established frameworks; support A/B testing, drift detection, and failure-mode analysis.
  • Communicate progress, risks, tradeoffs, and evaluation results clearly, translating model behavior into actionable implications for stakeholders.
  • Partner with Product, Operations, Claims, Underwriting, Risk, and technical teams to align workstreams with business goals, data realities, and regulatory constraints.
  • Support production deployments and ongoing operations, adhering to monitoring, governance, observability, and rollback expectations.
  • Act as a role model for best practices, provide guidance to less experienced contributors, and participate in reviews that shape domain-level technical standards.

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Skills
  • Proficiency in Python and scientific computing libraries; working SQL skills for data exploration, feature engineering, and knowledge preparation.
  • Experience with hypothesis-driven experimentation, offline evaluation, and production validation within established CI/CD, MLOps, and governance frameworks.
  • Ability to define and track metrics for classification, information retrieval, RAG/chat systems, forecasting, and operational KPIs, including A/B testing and drift monitoring.
  • Working knowledge of embeddings, structured outputs, and foundational agent or tool-use patterns within approved guardrails and safety constraints.
  • Experience with document parsing and OCR fundamentals, layout-aware extraction considerations, normalization, metadata and lineage practices, and PII detection or redaction.
  • Hands-on experience with at least one cloud AI platform (Vertex AI, AWS SageMaker/Bedrock, or Azure AI Services).
  • Working knowledge of enterprise AI governance, compliance, privacy, fairness, transparency, documentation, and safety-by-design expectations.
  • Strong communication skills, translating analytical insights and evaluation outcomes into clear, decision-relevant narratives.
  • Ability to operate with increasing autonomy in ambiguous problem spaces, applying sound judgment and escalating risks through defined governance processes.

Education, Experience, Certifications and Licenses
  • 2 to 4 years of Applied AI Science or related experience, demonstrating increasing autonomy in delivering AI workstreams or complex solution components.
  • Bachelor's degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a related analytical field. Advanced degree preferred.

Client-provided location(s): Hyderabad, India
Job ID: Hartford_Fire_Insurance_Company_FGB-4635
Employment Type: FULL_TIME
Posted: 2026-06-16T18:41:34

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
    • Fitness Subsidies
    • FSA
    • HSA
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
    • Remote Work Opportunities
    • Flexible Work Hours
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • On-Site Cafeteria
    • Company Outings
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Volunteer Time Off
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Internship Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program

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