Job Description

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

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 Fractal’s AI‑powered 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 decision‑ready 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, second‑guessing, and post‑bind quality issues.Cogentiq Underwriting enables underwriters and QA teams to move from manual reconciliation and spot checks to consistent, governed, and intelligence‑led underwriting decisions across the portfolio.

You will own the end-to-end architecture, reliability, and integration strategy forCogentiq-UWa cloud-native, multi-tenant underwriting platform that provides centralized visibility, governance, and configuration across modules and agents.You’llarchitect high-performance backend systems, design a robust integration layer with insurers’ core systems andthird-partydata providers, and partner with Data Science to productionize agents safely andexplainable

This is a hands-on leadership role:you’lldefine 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.You’llalso hire and grow ahighcaliberteam that balances quality with execution speed.

You will:

• Architect the platform’s 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 forlow-latencyreal-time APIs with graceful degradation.

• Own the integration layer—out-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 presales 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 machinesfor underwriting workflows; strong versioning, backward compatibility, and feature-flagged rollouts.

• Robust HILand exception handlingwith auditability and idempotent reprocessing.

Cloud Reliability & Performance (SRE Discipline)

• Kubernetes +IaC(Terraform/Helm), multi-regiontopologies, RTO/RPOdefined and tested, autoscaling, caching, backpressure, circuit breakers, and p95 latencyownership.

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/idempotencyand dynamic endpoint switching

Security, Compliance & Data Governance (BFSI-grade)

• E2E encryption, KMS/Vault, least privilege, key rotation, vulnerabilityscanning/pen tests; SOC 2 Type II readiness, GDPR controls, and a noPII analyticsarchitecture with anonymization pipelines and strict access controls.

Agents/AIProductionization& Data Collaboration

• Deploying agentic/LLMcomponents with guardrails, sandboxed tool-use, timeouts, evaluation frameworks, drift monitoring, and explainability surfaced in the HILinterface; tight collaboration with Data Science across batch/stream features, model registries, and safe rollouts.

Qualifications:

Must-Haves

• 12–15+ yearsin backend/platform engineering with 5+ yearsleading platform or core backend teams for B2B/SaaSproducts.

• Proven ownership of cloud-native, multi-tenantplatforms with 99.9%+ SLOs, multi-regiondeployments, DR drills, and incident management (runbooks, postmortems).

• Deepexpertisein Kubernetes, IaC(Terraform/Helm), API gateways, queues/streams; strong command of low-latencyAPI design, caching, and throughput optimization.

• Hands-on enterprise integrationsexperience with insurer core systems (preferably Guidewire/Duck Creek), SSO (OAuth2/OIDC/SAML), andthirdpartydata sources.

• Strong security & compliancegrounding: encryption at rest/in transit, secretsmgmt, key rotation, SOC 2 readiness, GDPR-aligned data privacy, audit trails.

• Demonstrated delivery of agentic/LLM or ML-powered featuresin production with measurable reliability and quality (evals, guardrails, rollbacks).

• Effective customer-facingcommunicator—confident with CIO/CTO/CISO stakeholders, experienced in presales, RFPs, and conference presentations.

• Track recordbuilding high-performing teams and cultures balancing quality with speed(paved roads, CI/CD, trunk-based dev, strong code review standards).

Nice-to-Haves

• Direct accelerators or integration frameworks for Guidewire/Duck Creek; BPM/workflow engines (Temporal/Cadence, Camunda).

• FinOps practice leadership: cost allocation,showbackchargeback,optimizationplaybooks.

• Experience designing usage/billing metering, ROI dashboards, and admin/observabilityportals.

• Prior conference talks, publications, or community contributions

Location Preference Bengaluru

#LI-RT1

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: HiringsupportIndia@fractal.ai

Outside India: HiringsupportROW@fractal.ai

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