Role: AI Architect – BFSI (Banking & Financial Services)
Experience: 12+ years
Location: Pune, Hyderabad preferably
Domain: Banking
Notice Period: within 60 Days
Role Overview
We are looking for a strategic AI Architect to design and scale enterprise-grade AI solutions for BFSI clients, with a strong focus on agentic AI, Gen AI platforms, and domain-specific intelligence. This role combines deep technical expertise with banking domain understanding to drive secure, compliant, and high-impact AI transformations.
Required Skills & Experience
Core AI & Architecture
- 12+ years in enterprise architecture / solution architecture
- Robust expertise in:
Generative AI & LLMs
Agentic AI frameworks (Lang Graph, Lang Chain)
RAG, prompt engineering, vector search
- Experience designing production-grade AI platforms
Key Responsibilities
1. Enterprise AI Architecture (BFSI-Focused)
- Define end-to-end AI architecture blueprints for banking use cases (e.g., underwriting, fraud detection, customer service, KYC/AML)
- Design agentic AI ecosystems (multi-agent orchestration, decisioning workflows)




- Develop domain-specific LLM/SLM architectures aligned to BFSI data models
- Ensure architecture adheres to regulatory and compliance requirements (RBI, MAS, etc.)
2. Gen AI & Agentic AI Solution Design
- Architect solutions using:
- LLMs (Open AI, Llama, etc.)
- Agent frameworks (Lang Graph, Lang Chain)
- RAG pipelines with enterprise data sources
- Design intelligent workflows:
- Autonomous decisioning agents
- Human-in-the-loop systems
- Policy-aware AI assistants
- Enable context-aware, explainable AI for regulated environments
3. Data & Platform Architecture
- Define architecture for:
- Data ingestion, governance, and vectorization
- Knowledge graphs and semantic layers for BFSI
- Integrate with enterprise platforms:
- Core banking systems
- CRM / LOS / LMS systems
- Risk & compliance platforms
- Leverage tools such as:
- Open Search / Vector DBs
- Vault (secure data access)
- Streami

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