As an AI Platform, Edge & Infrastructure Engineer at Kearney, you will contribute to consulting project teams as they offer honest advice and practical guidance to our clients. Depending on each clients unique needs, projects can differ in length, size, and location, giving you unique, hands-on experiences across a range of industries and service practices.

Responsibilities

1. Own platform reliability and deployment
- Manage the cloud and container platform that supports internal demos, client pilots, and production deployments.
- Build and maintain CI/CD workflows, release patterns, workplace configuration, secrets management, and observability.
- Ensure the platform remains stable, debuggable, and secure as the product portfolio evolves.

2. Build hybrid, on-premise, and edge deployment capabilities
- Design deployment patterns across cloud, client-managed environments, on-premise systems, and air-gapped setups.
- Package repeatable Velocity in a Box distributions for high-density compute hardware and client-specific constraints.
- Support data-residency, security,



and latency-sensitive requirements that require local execution.

3. Enable AI and GPU workloads
- Deploy and operate model-serving infrastructure, vector databases, agent runtimes, and other AI-specific platform components.
- Manage GPU capacity, storage, networking, and performance tuning for inference-heavy or multimodal workloads.
- Optimize for uptime, latency, utilization, and cost without sacrificing developer velocity.

4. Extend the platform into physical environments
- Support integrations with industrial robots, IoT devices, edge sensors, and factory or engineering data sources where needed.
- Work across conventional and unconventional interfaces to make solutions deployable in the environments where clients actually operate.
- Help define practical deployment patterns for solutions that must bridge software systems and physical operations.

5. Maintain security, operability, and resilie

📌 AI Platform, Edge (Bengaluru)
🏢 Kearney
📍 Bengaluru