AI Architect

📋 Description

• Lead AI Architect to design, develop, deploy, and maintain robust ML/GenAI solutions.
• Drive AI strategy, architecture, and delivery across use cases and programs.
• Build end-to-end AI systems with scalability, real-time inference, and governance.
• Develop, train, and validate ML models; perform A/B testing and validation.
• Implement guardrails, safety, and regulatory compliance for AI products.
• Collaborate with value streams to package AI capabilities into scalable products.

🎯 Requirements

• 10+ years in end-to-end AI/ML engineering or related roles.
• Proven 3+ ML/AI solutions in production (enterprise/financial services).
• GenAI/LLM deployment with apps; LangChain integration; GPT, Gemini.
• Python expert; FastAPI; modular, testable ML APIs.
• Cloud: AWS, GCP, Azure; multi-cloud experience.
• Monitoring, governance, lifecycle management; bias, explainability.

🎁 Benefits

• Culture values diversity, inclusivity, and creativity.
• Career advancement with no forced hierarchy.
• Opportunity to work with leading banks and financial services clients.
• Global presence across 32 cities enabling cross-border collaboration.