Architect - Product Development

Description

• Design and own the architecture of core fintech product services
• Define service boundaries, data ownership, and consistency models for high throughput, low latency systems.
• Architect and review Java / Spring Boot services with strong focus on performance, resilience, and observability.
• Design and implement AI Agent workflows using agentic AI frameworks (e.g., LangGraph) for product use cases such as:
• Workflow automation
• Operational decision support
• Exception or risk triage
• Architect multi‑agent orchestration with clear role separation (planner, executor, validator) and deterministic control over execution.
• Design agent memory strategies:
• Short-term/session memory
• Long-term structured memory
• Memory scoping, retention, and auditability
• Ensure security, compliance, and governance for AI driven flows:
• Guardrails and approval steps
• Traceability of agent decisions
• Safe fallbacks and human-in-the-loop controls
• Collaborate closely with product, engineering, and compliance teams to translate requirements into scalable architecture.
• Mentor senior engineers and contribute to architecture reviews and technical standards.

• 12–15 years of total experience in backend engineering with Java/Python and modern frameworks. Must have minimum 2 years hands on experience in AI & ML
• Strong experience designing distributed, transactional systems in fintech or regulated domains.
• Deep understanding of data consistency, idempotency, fault tolerance, and scalability.
• Hands‑on experience building stateful AI agents with well‑defined short‑ and long‑term memory.
• Solid understanding of security, observability, and production incident handling.
• Ability to communicate architectural decisions and trade-offs clearly.

• Experience with event driven architectures (Kafka, async messaging).
• Exposure to payments, risk, fraud, reconciliation, or compliance workflows.
• Familiarity with AI cost control, evaluation, and governance practices.