Head of Platform Engineering for Underwriting

Head of Platform Engineering - Underwriting It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Head of Platform Engineering / Principal Architect Company Overview: Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Fractal is focusing on selling world-class suite of vertical and functional AI products that solve high value enterprise problems under the brand Cogentiq. About Cogentiq UnderWriting Platform: Cogentiq Underwriting is Fractals AIpowered underwriting intelligence solution designed to help insurance underwriters make faster, more confident risk decisions . It works within existing core underwriting systems to turn incoming submissions into decisionready files by resolving data gaps, highlighting risk signals that rules alone miss, and providing clear, explainable insights at every step of the underwriting process.The platform continuously validates submissions, flags grey areas that require human judgment, and ensures every underwriting decision is backed by structured evidence, full traceability, and clear rationale reducing rework, secondguessing, and postbind quality issues.Cogentiq Underwriting enables underwriters and QA teams to move from manual reconciliation and spot checks to consistent, governed, and intelligenceled underwriting decisions across the portfolio. Role Description: You will own the end - to - end architecture, reliability, and integration strategy for Cogentiq - UW a cloud-native, multi-tenant underwriting platform that provides centralized visibility, governance, and configuration across modules and agents. Youll architect high-performance backend systems, design a robust integration layer with insurers core systems and third-party data providers, and partner with Data Science to productionize agents safely and explainable . This is a hands-on leadership role: youll define the platform blueprint (APIs, workflows, state machines), set reliability and security bars (SLOs, DR, SOC2 readiness, GDPR), build out observability & FinOps, champion demo/sandbox environments, and represent engineering in pre-sales and conferences. Youll also hire and grow a high caliber team that balances quality with execution speed. You will: Architect the platforms multi-tenant, API-first, event-driven design, including HIL (Human-in-the-Loop) workbenches, exception handling, state-machines, and audit trails. Lead cloud deployment (multi-region, auto-scaling, active - active/DR), achieve 99.9%+ SLOs, and design for low - latency real-time APIs with graceful degradation. Own the integration layerout-of-the-box connectors for Guidewire/Duck Creek, SSO (OAuth2/OIDC/SAML), third-party data (credit bureaus, CAT/exposure models, loss databases), and internal tools. Establish security & compliance (E2E encryption, least privilege, key rotation, vuln scanning, SOC 2 readiness, GDPR-aligned data privacy with zero PII retention in analytics stores). Partner with Data Science to deploy agentic/LLM features with guardrails, evaluation harnesses, explainability, and versioned rollout. Build observability (tracing/metrics/logs), alerting based on SLOs, FinOps dashboards (cost monitoring/optimization), usage & billing/chargeback metering, and ROI reporting. Stand up demo & sandbox environments (pre-loaded data, module/agent config testing) to accelerate sales and implementation. Lead pre sales conversations with IT/Tech leaders, handle RFPs, deliver conference talks, and act as a credible technical face of the platform. Hire, mentor, and evolve the team; define paved roads (CI/CD/ IaC ), coding standards, and operational excellence (runbooks, incident reviews, upgrade pathways). Technical Mastery: Platform & Systems Architecture (SaaS/B2B) Multi-tenant, API-first , event-driven design with state machines for underwriting workflows; strong versioning, backward compatibility, and feature-flagged rollouts. Robust HIL and exception handling with auditability and idempotent reprocessing. Cloud Reliability & Performance (SRE Discipline) Kubernetes + IaC (Terraform/Helm), multi-region topologies, RTO/RPO defined and tested, autoscaling, caching, backpressure, circuit breakers, and p95 latency ownership. Enterprise Integrations (Data Providers) REST/OAS3, webhooks, OAuth2/OIDC/SAML, API gateways; resilient connectors to Guidewire/Duck Creek , credit/score providers, CAT/exposure models, loss databases; retries/DLQs/idempotency and dynamic endpoint switching . Security, Compliance & Data Governance (BFSI-grade) E2E encryption, KMS/Vault, least privilege, key rotation, vuln erability scanning/pen tests; SOC 2 Type II readiness , GDPR controls, and a no PII He