Senior AI & Cloud Platform Transformation Lead

Bestinfo Systems LLC; Chicago (IL); Hybrid; USD 150,000 - 220,000; Full time

Job summary

Bestinfo Systems LLC in the United States seeks a senior AI-led engineer to drive enterprise AI, cloud and platform transformation across major programs. You will lead architecture, design production AI/ML capabilities, and align them with enterprise platforms in a hybrid, multi-location setting.

The role requires 12+ years in AI/DevOps/cloud/SRE or platform disciplines, 3+ years hands-on AI stack, 3+ years AIOps/observability, and strong Python and cloud/DevOps tooling expertise.

Qualifications

• 12+ years across AI, DevOps, cloud, SRE or platform disciplines.
• 3+ years hands-on AI stack experience.
• 3+ years AIOps/observability experience.
• Python is mandatory.
• Experience with enterprise cloud architecture and production AI/ML or GenAI systems.
• Knowledge of AWS, Azure or GCP; Kubernetes; Docker; Terraform; CI/CD; platform automation.

Responsibilities

• Lead architecture and engineering for enterprise AI, cloud and platform transformation initiatives.
• Design production-ready AI/ML and GenAI capabilities and integrate with enterprise platforms.
• Improve reliability, automation, deployment, monitoring and operational performance of mission-critical systems.
• Guide platform engineering, CI/CD, container orchestration, infrastructure automation and observability practices.
• Address security, governance, scalability and operational requirements in enterprise or regulated environments.

Skills

Senior AI/DevOps/cloud leadership

Python

12+ years enterprise experience

AIOps/observability

Tools

AWS/Azure/GCP

Kubernetes

Docker

Terraform

CI/CD

Platform automation

Job description

Bestinfo Systems LLC in the United States seeks a senior AI-led engineer to drive enterprise AI, cloud and platform transformation across major programs. You will lead architecture, design production AI/ML capabilities, and align them with enterprise platforms in a hybrid, multi-location setting.

The role requires 12+ years in AI/DevOps/cloud/SRE or platform disciplines, 3+ years hands-on AI stack, 3+ years AIOps/observability, and strong Python and cloud/DevOps tooling expertise.