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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 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.
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.
You’ll
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:
you’ll
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.
You’ll
also hire and grow a
high
caliber
team 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 for
low
-
latency
real-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 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 analytics
architecture with anonymization pipelines and strict access controls.
Agents/AI
Productionization
& Data Collaboration
Deploying
agentic/LLM
components with guardrails, sandboxed tool-use, timeouts, evaluation frameworks, drift monitoring, and explainability surfaced in the
HIL
interface; tight collaboration with Data Science across batch/stream features, model registries, and safe rollouts.
Qualifications:
Must
-
Haves
12–15+ years
in backend/platform engineering with
5+ years
leading platform or core backend teams for
B2B/SaaS
products.
Proven ownership of
cloud-native, multi-tenant
platforms with
99.9%+ SLOs
,
multi-region
deployments,
DR drills
, and incident management (runbooks, postmortems).
Deep
expertise
in
Kubernetes
,
IaC
(Terraform/Helm), API gateways, queues/streams; strong command of
low-latency
API design, caching, and throughput optimization.
Hands-on
enterprise integrations
experience with insurer core systems (preferably
Guidewire/Duck Creek
), SSO (OAuth2/OIDC/SAML), and
third
party
data sources.
Strong
security & compliance
grounding: encryption at rest/in transit, secrets
mgmt
, key rotation, SOC 2 readiness, GDPR-aligned data privacy, audit trails.
Demonstrated delivery of
agentic/LLM or ML-powered features
in production with measurable reliability and quality (evals, guardrails, rollbacks).
Effective
customer-facing
communicator—confident with CIO/CTO/CISO stakeholders, experienced in
pre
sales
, RFPs, and conference presentations.
Track record
building 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,
showback
/chargeback,
optimization
playbooks.
Experience designing
usage/billing metering
, ROI dashboards, and
admin/observability
portals.
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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