Data, AI & GenAI Systems Manager

We're Hiring | Data, AI & GenAI Systems Manager

We are looking for a technology leader with a strong systems mindset, hands-on capabilities, and the ability to drive cross-functional initiatives while ensuring mission-critical platforms operate at the highest standards

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What You'll Do

Own the day-to-day operations, maintenance, availability, and reliability of Data, AI, and GenAI platforms

Develop deep expertise in the end-to-end architecture, including infrastructure, AI models, data pipelines, security, APIs, and integrations

Manage and maintain both on-premises and cloud-based environments

Lead incident management processes, troubleshooting, and Root Cause Analysis (RCA) for complex production issues

Establish and maintain monitoring, alerting, and operational observability framework

Manage platform releases, infrastructure upgrades, and deployment processes

Drive the implementation and adoption of new AI and Generative AI capabilities

Ensure compliance with security, governance, regulatory, and organizational standards

Collaborate with architects, engineering teams, data scientists, and business stakeholders to promote operational excellence and best practices

Participate in architecture discussions and contribute to platform strategy and continuous improvement

Requirements

Bachelor's degree in Computer Science, Information Systems, Industrial Engineering & Management, or a related field

3–5 years of experience managing complex enterprise systems and integrations

Strong understanding of Data Pipelines and modern data architecture

Hands-on experience with SQL and NoSQL databases

Familiarity with AI platforms, Large Language Models (LLMs), and Generative AI technologies

Experience working with cloud environments such as AWS, GCP, or Azure

Experience with Docker, Kubernetes, and deployment processes

Strong understanding of APIs and system integrations

Proven ability to troubleshoot and resolve production issues in complex environment

Excellent communication skills and ability to work across multiple teams and stakeholders

Advantage

Experience with monitoring and observability tools such as CloudWatch, Datadog, or similar platforms

Experience analyzing logs and investigating incidents using Splunk, ELK, Cloud Logging, or equivalent

Background supporting AI/ML production environments and MLOps processes

What We're Looking For

Strong leadership and influence skills

End-to-end systems thinking and architectural understanding

Ownership mindset with a passion for operational excellence

Ability to lead critical incidents and drive teams toward rapid resolute

High level of independence, initiative, and problem-solving ability

Fast learner with the ability to adapt to evolving technologies

Strong collaboration skills and experience working with diverse technical and business stakeholders

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