Key responsibilities Deployment & platform 

- Own the AI deployment pipeline (Dev →
- UAT →
- Production) and the sandbox environment, ensuring a clear, governed, repeatable path to production. 
- Operate and govern the on-prem / sovereign AI platform (Kubernetes, containerisation, GPU orchestration) — configuring and managing it, including partner-provided components. 
- Establish a reusable "golden path" deployment pattern so each successive use case ships faster than the last. Vendor & delivery management 
- Act as the technical counterpart to AI vendors and the implementation partner — review their architectures, challenge unrealistic timelines, and hold them to delivery commitments. 
- Validate that vendor-delivered solutions (container images, models, integrations) meet the bank's security and residency requirements before deployment. 
- Set the technical standards every vendor must deliver to, so solutions arrive in a form our workplace can actually run. Security & integration 
- Work directly with Information Security (ISO) to enable and run container image vulnerability and malware scanning (IVA/MSB) for AI workloads. 
- Work with IT Infrastructure to provision,



scale and govern compute for AI workloads. 
- Own the integration of third-party AI products into the bank's systems and data. MLOps & governance 
- Stand up and run model registry, versioning, monitoring and drift detection — so models stay accountable after go-live, not just at delivery. 
- Ensure all AI in production is observable, auditable and aligned to CBO and risk expectations. Must-have experience  10+ years in platform / DevOps / MLOps or AI engineering, with a track record of putting solutions into live production 
- Hands-on Kubernetes, Docker / containerisation, and container security in production. 
- On-premise / sovereign /in-region deployment experience — not cloud-only. Data residency is non-negotiable. 
- Proven management of software / AI vendors and integration ofthird-party systems — ideally in a bank, telco or government. 
- Able to read a vendor's architecture and identify what will not work — strong enough technically not to be bluffed. 
- Experienced in managing AI Projects, as a project manager

📌 Sr AI Platform & Delivery Lead (Ahmedabad)
🏢 KAAPRO
📍 Ahmedabad