Forward-Deployed Engineer; FDE; Insurance

Req : 387296

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Forward-Deployed Engineer (FDE) - Insurance to join our team in Plano, Texas (US-TX), United States (US).

"Forward Deployment Engineer — AI Products
Role Summary
The Forward Deployed Engineer — AI Products (FDE) deploys, configures, extends, and operationalizes NTT DATA's industry-specific AI platforms — AI for Insurance and AI for Manufacturing — within customer environments. These platforms, powered by the AI Vista Platform, are designed for Service as Software (SaS) — replacing manual, labor-intensive back-office operations with AI-driven agentic workflows that deliver outcomes autonomously, with human oversight where it matters.

The platforms provide pre-built specialized agents, domain ontologies, governed workflows, and composable building blocks. The FDE takes these capabilities into production for specific customers — configuring extraction schemas, authoring business rules, registering connectors, assembling workflows, deploying containerized services, and ensuring governed, observable operation.
The FDE combines agentic AI engineering expertise with domain understanding, Dev Ops capability, and customer engagement skills. They manage implementations from discovery through production, and serve as a critical feedback channel — surfacing field insights, reusable patterns, and product improvement opportunities back to the platform product teams.
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Key Responsibilities
Customer Engagement and Solution Delivery

• Partner with customer stakeholders to understand business objectives, operational pain points, and desired outcomes.

• Lead discovery and solution planning to translate customer-specific business processes into deployable AI-powered workflows.

• Manage the end-to-end implementation lifecycle: discovery, design, configuration, deployment, adoption, and optimization.
Platform Configuration and Extension

• Configure the platform for customer-specific use cases — extraction schemas, business rules, confidence thresholds, connectors, and multi-step agentic workflows.

• Build custom agents and integrations where customer requirements extend beyond pre-built platform capabilities.

• Translate customer standard operating procedures and business rules into executable platform configurations, working alongside domain subject matter experts.
Dev Ops, Deployment, and Operations

• Deploy platform services to customer environments using Helm charts on Kubernetes, managing container registries, deployment pipelines, and environment-specific configuration.

• Automate repeatable, auditable deployment pipelines for platform updates and agent image releases.

• Configure observability and monitoring infrastructure (Open Telemetry, dashboards, alerting) for production-grade operation.
Domain Specialization

• Develop and maintain working expertise in one or both platform domains:
o AI for Insurance:
SaS workflows that replace manual underwriting, claims, policy servicing, and TPA back-office operations with AI-driven extraction, classification, decisioning, and document generation.
o AI for Manufacturing:
SaS workflows that replace manual quality management, supply chain documentation, compliance reporting, and production operations with AI-driven inspection, validation, and reporting.

• Apply domain context — industry processes, terminology, regulations, and KPIs — to platform configuration and solution design decisions.
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