IND Senior Software Engineer
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.
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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