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