Senior Engineer, AI Tech Services, India

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1. AI & Automation Solution Development - 40%

Own solution design for complex, cross-system automation programs spanning policy and claims domains

Establish patterns and reference architectures for RPA + API + AI implementations (resiliency, observability, scalability, governance)

Lead development of reusable accelerators for insurance workflows (intake, triage, endorsements, payments, document intelligence) and drive adoption

Define non-functional requirements and ensure production-grade engineering: performance, HA/DR considerations, maintainability, and operational supportability

Guide technical tradeoffs across RPA vs. workflow engines vs. microservices to minimize brittleness and improve long-term scalability

2. Process Analysis & Automation Strategy - 20%

Drive automation roadmaps with stakeholders: prioritize pipeline based on value, feasibility, risk, and strategic fit

Establish ROI measurement methodologies and benefits tracking; ensure realized value aligns with business cases

Lead discovery for ambiguous problem spaces; align stakeholders on target state, operating model, and change impacts

Influence process standardization and redesign to maximize automation leverage (not just “lift and shift”)

3. AI/ML Model Development, MLOps & Responsible AI - 30%

Architect and oversee ML/NLP solutions for classification, extraction, and fraud/anomaly detection; ensure appropriate evaluation and validation rigor

Define MLOps standards (deployment, monitoring, drift detection, retraining triggers, model governance) and operational ownership

Ensure responsible AI practices: bias considerations, explainability where required, auditability, and model risk controls

Integration & Automation Orchestration

Lead integration architecture across core platforms and enterprise services; define API strategies, event models, and data contracts

Ensure scalability for high-volume automation (load management, horizontal scaling, queue-based designs, back-pressure handling)

Coordinate with platform/security teams on identity, network, environment strategy, and production readiness reviews

Continuous Improvement & Governance

Define engineering standards for the automation practice (code quality, CI/CD, testing, observability, incident response)

Establish KPI frameworks and executive-ready reporting for automation health and value realization

Drive reduction of operational risk through governance, controls, and audit-ready documentation

4. Teamwork & Collaboration - 10%

Collaborate with co-workers and supervisors to meet client needs and contribute to achievement of internal team goals.

Look for opportunities to improve processes to better support clients and build knowledge and expertise in underwriting.

Mentor and review work from other engineers; provide technical direction without becoming a bottleneck

Foster a respectful and collaborative environment by upholding professionalism and engaging in constructive and respectful conversations.

Support a positive workplace culture by promoting open, solution-oriented communication, encouraging teamwork, and maintaining a focus on shared goals and productivity.

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