Senior Architect - Product Development
Envestnet, Inc
- Location
- Trivandrum, Kerala, India
- Job type
- Full-time
Required skills
- Python
- backend
- compliance
- fintech
- Java
- Kafka
About the role
Envestnet, Inc
Website:
envestnet.com
Job details:
Description
Key Responsibilities
- 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.
Required Qualifications
- 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.
Nice to Have
- 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.
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