We are seeking a Forward-Deployed AI Product Architect to work at the intersection of core product engineering, AI orchestration, and high-impact client deployment. In this role, you will bridge the gap between our core AI platform capabilities and the highly regulated, complex workflows of our enterprise clients (specifically across FinTech, Financial Services, and Enterprise SaaS).
You are not just deploying a tool; you are embedding autonomous, intent-driven AI workflows into the client’s product ecosystem. This role requires a hands-on builder, deep product architect, and first-principles thinker who can gain trust with client developers and justify product ROI to executive stakeholders.
Requirements
Job Responsibilities
Domain-Specific AI Integration
Architect Intent-Driven Workflows: Design and deploy agentic AI workflows tailored to complex financial domain logic, ensuring systems can reliably process high-stakes data (e.g., automated credit underwriting analysis, regulatory compliance checking,
or algorithmic fraud intent mapping).
Context-Aware RAG Pipelines: Build and optimize domain-specific Retrieval-Augmented Generation (RAG) and vector database architectures that ingest massive, disparate financial data sources (e.g., SEC filings, transaction ledgers, legacy ERP schemas) to feed localized AI agents.
Bridge Legacy Core Systems: Design secure abstraction layers and Model Context Protocol (MCP) implementations that allow AI systems to interact seamlessly with legacy core-banking systems, monolithic financial ledgers, and rigid enterprise APIs.
Product Delivery & SDLC Acceleration
Accelerate Product Feature Delivery: Partner directly with the client’s product and engineering leadership to replace traditional, bottlenecked sprint cycles with autonomous delivery loops that generate domain-compliant code, comprehensive unit tests, and validation artifacts.
Establish Guardrails & AI Governance: Implement d
📌 Forward Deployed AI Architect3 (Hyderabad)
🏢 GlobalLogic
📍 Hyderabad
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