- Experience - 15+ yrs
- Location - Pan India anywhere (Genpact location)
- Domain - Insurance &
- Financial Services
- Skill - AI &
- Automation Transformation

Responsibilities

- Embed directly with client teams (Insurance carriers, TPAs, FinServ operations) to understand workflows, pain points, and data landscapes firsthand — not through requirements documents alone.
- Rapidly prototype and productionize AI-enabled solutions: agentic workflows, LLM-based extraction/classification, RPA + AI hybrid automations, and API-first integrations.
- Own the full build lifecycle — from architecture and proof-of-concept through UAT, hypercare, and steady-state handover — often with minimal dedicated engineering support.
- Translate ambiguous business asks (e.g., "reduce submission turnaround time," "automate cash application matching") into scoped technical designs and working prototypes within days, not months.
- Integrate with core insurance/FinServ systems — policy admin systems, claims platforms, document management, CRM (Salesforce), and legacy mainframe/ODS environments.
- Partner with Solution Architects, Automation Architects, and AI Architects to ensure builds align to enterprise patterns (event-driven architecture, canonical data models, API-first integration).
- Instrument solutions for measurable outcomes: FTE release, STP rate, FPY, cycle time reduction, and defect/UAT pass-rate tracking.
- Act as the technical credibility layer in CXO/client governance forums — able to demo live builds, defend architecture choices, and respond to technical objections in real time.
- Drive from pilot to scale:



once a build proves value with one client/process, generalize it into a reusable asset or platform capability.
- Provide technical inputs into RFP/proposal responses and BaFO (Best and Final Offer) stages when needed.

Experience &

- Domain

- 10–15 years in software/solutions engineering, with at least 5–7 years working directly in Insurance (P&C;, Life, Group Advantages) and/or Financial Services operations or technology.
- Demonstrated experience deploying solutions into live client environments — not just internal R&D; or lab settings.
- Working knowledge of insurance domain processes: underwriting, claims, policy servicing, submissions, cash/reconciliation, or loss run processing.

Technical Skills

- Strong hands-on coding ability (Python and/or JavaScript/TypeScript
- SQL fluency mandatory).
- Practical experience building with LLMs/agentic frameworks (LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent) and RAG architectures.
- Experience with RPA and intelligent automation platforms (UiPath, Automation Anywhere, Power Automate) and where to use automation vs. AI vs. workflow engines.
- API integration and iPaaS experience (MuleSoft or equivalent); understanding of event-driven architecture and Canonical Data Models.
- Familiarity with cloud platforms (AWS/Azure/GCP) and standard MLOps/LLMOps practices for deploying and monitoring models in production.
- Comfortable working with legacy and modern data layers alike — mainframe extracts, ODS, CDC pipelines, and modern data warehouses.

Education

- Bachelor's degree in Computer Science, Engineering, or related field required; advanced degree a plus.

📌 Senior Field Engineer (Bengaluru)
🏢 Genpact
📍 Bengaluru