Senior Engineer, AI Tech Services, India

ReSource Pro; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

ReSource Pro in Bengaluru is seeking engineers to advance our AI and automation initiatives across policy and claims workflows. You will own design and delivery of cross-system automation programs, ensuring scalable, observable, and production-ready solutions.

You will lead ML/NLP efforts, establish MLOps standards, and promote responsible AI practices while coordinating with platform and security teams to maintain governance and reliability at scale.

Qualifications

• Experience in designing automation solutions across policy and claims domains.
• Ability to establish reference architectures for RPA, API, and AI implementations.
• Proven track record delivering scalable automation accelerators.
• Experience with MLOps standards and responsible AI practices.
• Strong collaboration with stakeholders to align automation roadmaps.

Responsibilities

• Own solution design for complex automation programs spanning policy and claims domains.
• Establish patterns and reference architectures for RPA + API + AI implementations.
• Lead development of reusable accelerators for insurance workflows and drive adoption.
• Define non-functional requirements and ensure production-grade engineering.

Skills

RPA

AI/ML

MLOps

API design

Automation strategy

Tools

RPA Tools

API Design

ML Platforms

Job description

UNLEASH 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 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.

If you have the willingness to learn and develop your skills, we have the right job for you. Let’s make a deal!