Senior Engineer, AI Tech Services, India

ReSource Pro, LLC; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

ReSource Pro, LLC in Bengaluru, India is seeking a Senior Engineer for AI Tech Services to lead automation initiatives across policy and claims domains. You will own solution designs, establish robust architectures with RPA, API, and AI components, and drive scalable, production-grade implementations.

The role emphasizes MLOps, responsible AI practices, and cross-team collaboration to deliver end-to-end automation with strong governance and operational readiness.

Qualifications

• Experience designing cross-system automation programs spanning policy and claims domains.
• Ability to establish patterns and reference architectures for RPA, API, and AI implementations.
• Define non-functional requirements and ensure production-grade engineering: performance, reliability, and observability.
• Experience guiding technical tradeoffs to minimize brittleness and enable long-term scalability.

Responsibilities

• Own solution design for complex, cross-system automation programs spanning policy and claims domains.
• Lead development of reusable accelerators for insurance workflows and drive adoption.
• Define non-functional requirements and ensure production-ready engineering and governance.
• Guide tradeoffs across RPA, workflow engines, and microservices for scalable systems.
• Coordinate with platform/security teams on identity, network, and deployment readiness.

Skills

AI Automation

MLOps

System Integration

Job description

## Senior Engineer, AI Tech Services, IndiaApplylocations: Bangaloretime type: Full timeposted on: Posted 6 Days Agojob requisition id: JR26-0001873UNLEASH YOUR BEST SELF JOIN. LEARN. ADVANCE. EARN *YOUR PASSION FOR EXCELLENCE STARTS HERE!!***1. AI & Automation Solution Development - 40%**Own solution design for complex, cross-system automation programs spanning policy and claims domainsEstablish 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 adoptionDefine non-functional requirements and ensure production-grade engineering: performance, HA/DR considerations, maintainability, and operational supportabilityGuide 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 fitEstablish ROI measurement methodologies and benefits tracking; ensure realized value aligns with business casesLead discovery for ambiguous problem spaces; align stakeholders on target state, operating model, and change impactsInfluence 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 rigorDefine MLOps standards (deployment, monitoring, drift detection, retraining triggers, model governance) and operational ownershipEnsure 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 contractsEnsure 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 realizationDrive 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 bottleneckFoster 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.If you have the willingness to learn and develop your skills, we have the right job for you. Let’s make a deal!