AI Infrastructure and Data Manager

AI Infrastructure and Data Manager

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.

Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

JOB SUMMARY

The AI Infrastructure and Data Manager leads the team responsible for building and operating AI infrastructure at CAIDO Group. This leadership role involves strategic planning, team management, and ensuring the reliability and scalability of GPU clusters, data systems, and cloud infrastructure. The Manager bridges technical execution with business objectives and stakeholder communication.

KEY RESPONSIBILITIES

• Lead and manage a team of AI Infrastructure engineers and associates

• Define infrastructure strategy aligned with organizational AI objectives

• Oversee the design and operation of large-scale GPU training clusters

• Establish capacity planning models and resource allocation frameworks

• Drive FinOps initiatives to optimize cloud costs and compute utilization

• Ensure high availability and reliability of AI infrastructure (99.9%+ uptime)

• Collaborate with ML leadership to align infrastructure with research priorities

• Manage vendor relationships for cloud and hardware providers

• Develop and enforce infrastructure security and compliance standards

• Conduct performance reviews and support career development for team members

• Present infrastructure status and roadmaps to senior leadership

• Drive continuous improvement in operational processes and automation

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred

• 6-10 years of experience in infrastructure, DevOps, or platform engineering

• 3+ years of people management experience

• Deep expertise in cloud architecture and Kubernetes at scale

• Strong understanding of AI/ML infrastructure requirements

• Experience managing significant infrastructure budgets

• Track record of building and leading high-performing teams

• Excellent stakeholder management and communication skills

• Strategic thinking with ability to execute tactically

• Experience with vendor management and contract negotiations

PREFERRED QUALIFICATIONS

• Experience at AI-focused companies or research labs

• Background in HPC or scientific computing

• MBA or management training

• Experience with IPO/M&A infrastructure due diligence

• Public speaking and thought leadership experience

WORK DETAILS

• Employment Type: Full-time, Permanent

• Location: Pune, India

• Department: CAIDO Group - Innovation and AI

• Reports To: Head of AI / CAIDO Leadership

• Work Type: Office-based with potential hybrid options

Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Experience Level

Senior Level