Role purpose: APAC is building AI capability in-house, and this role owns the technical delivery of it; forming a team, and designing and building the solutions.

Responsibilities:

Delivery of AI projects
- Partner with the AI Transformation Head and CTO to identify, prioritize, and scale AI use cases.
- Own end-to-end delivery of approved use cases (Gen AI, Conversational, Voice, Vision, Agentic AI): design, build, test, deploy, monitor.
- Provide technical reviews on AI vendor engagements .
- Take handover from vendor build-and-transfer engagements and run them as business-as-usual.

AI platform and architecture
- Own the AI platform: model access, retrieval infrastructure, the agent runtime, the tool registry, and observability across every agent action.
- Design the enterprise architecture patterns that make agents more effective with a lower TCO.
- Work with the Integration Architect on exposing LOS / LMS functions as services, and on MCP connectors.
- Manage the AI infra and consumption cost, including model,



inference and cloud spend against budget.

Team and capability building:
- Hire and lead a small AI engineering team.
- Develop AI skills and capabilities across existing technology teams.

Security, risk and technical compliance:
- Build solutions in compliance with APACs AI Policy and regulatory requirements.
- Manage model risk: privacy, monitoring, drift detection, bias management and explainability.
- Partner with Information Security on the review and sign-off of every AI system.
- Maintain the inventory of live AI systems, with model, prompt and data lineage audit-ready.

Technical expertise:

Gen AI & LLMs | Intelligent Automation & Agentic AI | Speech & Voice AI | Document AI & Vision | Enterprise Architecture | Cloud Platforms (AWS Preferred) | API & Integration Architecture | Cybersecurity & Data Privacy

📌 AI Engineering Lead (Mumbai)
🏢 APAC Financial Services
📍 Mumbai