Senior AI Platform & Delivery Lead

Kaapro Management Solutions Pvt. Ltd.; Ahmedabad District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Kaapro Management Solutions Pvt. Ltd. seeks a Senior AI Platform & Delivery Lead to accelerate secure, in-country AI production deployments and own the vendor delivery lifecycle.

You will govern the on-prem AI platform, enforce residency and security standards, and drive a fastest-path deployment model across multiple use cases with strong MLOps discipline.

Qualifications

• 10+ years in platform / DevOps / MLOps or AI engineering.
• 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 of third-party systems.
• Experience in regulated environments such as banks, telcos or government.
• Able to read vendor architectures and identify feasibility.
• Experience managing AI projects as a project manager.

Responsibilities

• Own the AI deployment pipeline (Dev → UAT → Production) and sandbox environment.
• Operate and govern the on-prem / sovereign AI platform, including partner components.
• Establish a reusable golden path deployment pattern to ship faster over time.
• Act as technical counterpart to AI vendors and implementation partners; review architectures and timelines.
• Validate vendor-delivered solutions meet security and residency requirements before deployment.
• Set technical standards all vendors must meet for seamless integration.
• Coordinate with InfoSec for container image scanning and with IT Infra to scale AI compute.

Skills

Kubernetes

Containerisation

Container security

MLOps

AI engineering

Vendor management

Production deployment

Security compliance

Project management

On-prem deployment

Tools

Kubernetes

Container security tools

Job description

Senior AI Platform & Delivery Lead

Unit: Innovation, Emerging Technologies & Digital Partnerships

Reports to: Head of Innovation, Emerging Technologies & Digital Partnerships

Level: Senior / Specialist (10+ years)

Purpose ofthe role

Own the path that takes AI from a delivered solution to a secured, monitored production

system running in-country — and make that path fast. With delivery partner-led, this role is

the bank's technical owner of vendor delivery and deployment: it holds vendors to the

bank's security, residency and quality standards, integrates their solutions into our

environment, and ensures the bank is never dependent on a vendor's pace or claims.

This is the role that turns a blocked pipeline into a working one. Its single measure of

success is deployment speed — how quickly validated AI reaches production, safely.

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, includingpartner-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 environment 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

Nice to have

• GPU infrastructure sizing and cost optimisation.
• Feature stores and data pipelines (to also support the data-foundation work).
• GCC / Arabic-region or regulated-financial-services experience.