Solutions Architect, Sign3
Summary
The Solutions Architect leads client engagements from discovery through solution sign‑off, translating fraud and risk requirements into custom architectures using Sign3’s AI‑driven SDK/APIs, and coordinating with product, data, and engineering teams.
- Lead detailed technical discovery after the initial sales meeting to uncover the client’s true needs, fraud typologies, risk drivers, dependencies, and constraints.
- Probe beyond the stated ask to identify the real problem, integration realities, and what "success” looks like for the client.
- Map client requirements against Sign3’s product suite and define where standard products fit and where customization is required.
- Produce a clear customization/requirement specification and an end-to-end solution architecture covering data flows, integration patterns, deployment model (SaaS / on-prem /dedicated tenancy), latency, scalability, security, and SLA expectations
- Design for the deployment constraints typical of Indian banks — on-premise and dedicatedtenancy environments, multi-AZ availability, and bank-grade security postures.
- Work hand-in-glove with product, data, and engineering teams to validate feasibility, scope customizations, and size effort/cost before commitments are made to the client.
- Act as the translation layer between commercial intent and technical reality, ensuring what is sold can be built.
- Deliver technical presentations, tailored demos, scoping sessions, and proof-of-concept design.
- Own responses to RFIs/RFPs and partner with the client’s InfoSec teams to complete security questionnaires and compliance reviews (including RBI-framework and DPDP-related requirements).
- Provide guidance on how Sign3 signals integrate into the client’s broader risk-decisioning stack.
- 7–12 years in solution architecture, pre-sales engineering, or technical consulting, ideally with portion in a dedicated solutions/architect role.
- Demonstrated experience designing enterprise solutions in fraud detection, risk management, fraud risk, identity, payments, or BFSI technology.
- Strong grasp of API design, integration patterns, message brokers (e.g., Kafka), distributed systems, and designing for high availability, scalability, performance, and security.
- Ability to interface credibly with both C-level/business stakeholders and engineering teams; excellent communication and project management skills.
- Comfort working through ambiguity in a fast-growing, startup environment.
- Direct exposure to the Indian banking/NBFC/FinTech ecosystem and large-bank procurement processes.
- Familiarity with behavioural biometrics, device intelligence, or ML/AI model integration and data pipelines.
- Working knowledge of the RBI regulatory landscape (EWS, fraud risk management directions, IT outsourcing) and DPDP Act implications.
- Cloud certification (AWS / Azure Solutions Architect).
- Experience with on-premise and dedicated-tenancy enterprise deployments.