{"id":2671393,"url":"https://alion.io/job/ntt-data-forward-deployed-engineer-fde-insurance-2","title":"Forward-Deployed Engineer (FDE) - Insurance","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":24,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":914},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OCR","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-19T12:52:11Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Req ID: 387296\nNTT 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.\nWe are currently seeking a Forward-Deployed Engineer (FDE) - Insurance to join our team in Plano, Texas (US-TX), United States (US).\n\"Forward Deployment Engineer - AI Products\nRole Summary\nThe 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.\nThe FDE combines agentic AI engineering expertise with domain understanding, DevOps 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.\n________________________________________\nKey Responsibilities\nCustomer Engagement and Solution Delivery\nPartner with customer stakeholders to understand business objectives, operational pain points, and desired outcomes.\nLead discovery and solution planning to translate customer-specific business processes into deployable AI-powered workflows.\nManage the end-to-end implementation lifecycle: discovery, design, configuration, deployment, adoption, and optimization.\nPlatform Configuration and Extension\nConfigure the platform for customer-specific use cases - extraction schemas, business rules, confidence thresholds, connectors, and multi-step agentic workflows.\nBuild custom agents and integrations where customer requirements extend beyond pre-built platform capabilities.\nTranslate customer standard operating procedures and business rules into executable platform configurations, working alongside domain subject matter experts.\nDevOps, Deployment, and Operations\nDeploy platform services to customer environments using Helm charts on Kubernetes, managing container registries, deployment pipelines, and environment-specific configuration.\nAutomate repeatable, auditable deployment pipelines for platform updates and agent image releases.\nConfigure observability and monitoring infrastructure (OpenTelemetry, dashboards, alerting) for production-grade operation.\nDomain Specialization\nDevelop and maintain working expertise in one or both platform domains:\no 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.\no 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.\nApply domain context - industry processes, terminology, regulations, and KPIs - to platform configuration and solution design decisions.\nFeedback and Product Improvement\nServe as the primary feedback channel between customer implementations and platform product teams.\nDistinguish customer-specific customization needs from reusable platform improvements that benefit all future deployments.\nContribute to reusable implementation assets: deployment playbooks, configuration templates, and integration patterns.\n________________________________________\nKnowledge and Attributes\nTechnical\nStrong understanding of agentic AI architectures, including multi-agent systems, tool use (MCP - Model Context Protocol), retrieval-augmented generation (RAG), and workflow orchestration patterns.\nProficiency in Python for scripting, automation, agent development, API integration, and data transformation.\nWorking knowledge of at least one major hyperscaler (AWS, Azure, or GCP), including managed AI/ML services (Bedrock, Azure AI Foundry, Vertex AI), container services, managed databases, blob storage, and identity providers.\nExperience with containerized deployments: Docker, Kubernetes, Helm charts, container registries, and CI/CD pipelines for automated deployment.\nFamiliarity with LLM concepts: prompt engineering, model selection and routing, confidence scoring, token economics, and the distinction between deterministic logic and neural reasoning.\nUnderstanding of document processing pipelines: OCR, structured field extraction, classification, confidence-based routing, and human-in-the-loop review workflows.\nWorking knowledge of PostgreSQL, REST API design, and event-driven architectures.\nFamiliarity with observability tooling: OpenTelemetry (traces, metrics, logs), structured logging, and production monitoring dashboards.\nUnderstanding of infrastructure-as-code principles (Terraform or equivalent) and GitOps workflows.\nDomain and Business\nAbility to quickly learn and apply domain context - industry processes, terminology, regulations, document types, data flows, user roles, and success metrics.\nCommercial and domain awareness to connect technical configuration decisions with business value, risk reduction, operational efficiency, and compliance requirements.\nUnderstanding of regulated industry requirements: audit trails, data lineage, governance, and compliance reporting.\nConsulting and Communication\nStrong consulting, stakeholder management, and customer engagement skills - able to build trust with technical teams, business operations, and senior leadership.\nAbility to communicate effectively with both domain/business stakeholders and technical teams, adapting the level of detail to the audience.\nAbility to work independently, manage ambiguity, and balance business, technical, and operational priorities within customer environments.\nStrong product feedback mindset - ability to observe field realities and translate them into actionable, structured product improvement recommendations.\nCollaboration and knowledge-sharing orientation - contributing to team capability through documentation, playbooks, and mentoring.\n________________________________________\nRequired Qualifications and Certifications\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline, or equivalent combination of education and experience.\nRelevant certifications in cloud technologies (AWS Solutions Architect, Azure Developer/Administrator, GCP Professional Cloud Architect), Kubernetes (CKA/CKAD), or AI/ML are highly beneficial.\nDomain certifications in insurance (CPCU, AINS, or equivalent) or manufacturing (Six Sigma, APICS, or equivalent) are a plus.\n________________________________________\nRequired Experience\nTypically 6-8 years of experience in software engineering, solution architecture, DevOps, platform engineering, customer engineering, or related technology disciplines.\nExperience working directly with enterprise customers in customer-facing, consultative environments.\nExperience deploying and operating containerized applications in production - Kubernetes, Helm, CI/CD pipelines, container registries, and infrastructure automation.\nExperience with Python in a production context - building APIs, scripting automation, integrating with cloud services, or developing data processing pipelines.\nExperience with at least one major cloud platform (AWS, Azure, or GCP) in a hands-on engineering capacity.\nExperience implementing, configuring, or extending enterprise platforms or products within customer environments.\nExperience delivering technology solutions in one or more of the following domains: insurance (underwriting, claims, policy administration, TPA operations), manufacturing (quality, supply chain, compliance, production operations), or adjacent regulated industries.\nExperience translating domain-specific workflows, business rules, and operational constraints into technology solution configurations.\nExperience working with AI/ML systems in production - model integration, confidence-based routing, human-in-the-loop workflows, or document processing pipelines.\nExperience providing structured field feedback to product or engineering teams, distinguishing between customer-specific needs and reusable platform improvements.\nExperience operating independently and solving complex business and technical challenges within ambiguous or evolving environments.\"\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.","description_format":"text","description_chars":11467,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-10-16T04:13:07Z"},{"event":"close","at":"2026-10-17T06:37:06Z"},{"event":"reopen","at":"2026-10-17T09:52:55Z"},{"event":"close","at":"2026-10-18T18:42:42Z"},{"event":"reopen","at":"2026-10-18T22:03:11Z"},{"event":"close","at":"2026-10-19T01:24:23Z"},{"event":"reopen","at":"2026-10-19T08:43:28Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 399 · green card filings: 60","filings_12m":399,"filings_prev_12m":499,"green_card_filings_12m":60,"median_offered_wage_usd":123600,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.854,"p_room":1,"age_days":6,"expected_fill_days":23,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-19T16:38:39Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-forward-deployed-engineer-fde-insurance-2","json_url":"https://alion.io/job/ntt-data-forward-deployed-engineer-fde-insurance-2.json","meta":{"generated_at":"2026-10-19T16:38:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12638,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50348},"rest":"https://alion.io/mcp/rest/get_company?id=50348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-forward-deployed-engineer-fde-insurance-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fntt-data-forward-deployed-engineer-fde-insurance-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fntt-data-forward-deployed-engineer-fde-insurance-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ntt-data-forward-deployed-engineer-fde-insurance-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-forward-deployed-engineer-fde-insurance-2"}]}