Overview

This role is responsible for designing, deploying, and operating scalable AI/ML and Generative AI platforms on AWS. The engineer will enable robust MLOps, LLMOps, and DevOps practices,

Responsibilities

• AI/ML & GenAI Operations (AI Ops)
• Operate and support production ML and GenAI workloads on AWS
• Monitor:
• Ensure high availability of AI services powering lending workflows
• MLOps & LLMOps (AWS Native)
• Build and manage end-to-end ML pipelines using:
• Implement:
• Enable LLMOps practices:
• DevOps & Cloud Engineering (AWS)
• Design and manage infrastructure using:
• Implement CI/CD pipelines using:
• Orchestrate workloads with:
• Ensure scalability, resilience, and cost optimisation
• GenAI & Agentic AI Enablement
• Deploy and manage:
• Enable runtime support for:
• Integrate AI systems with:
• Data & Pipeline Integration
• Build pipelines using:
• Manage data storage and access via:
• Enable real-time and batch AI workflows
• Monitoring, Observability & Reliability
• Implement monitoring using:
• Track:
• Define SLAs/SLOs and manage incident response
• Security, Risk & Compliance
• Ensure secure AI deployments using:
• Implement data governance and privacy controls
• Enforce Responsible AI and model governance standards
• Collaboration & Enablement

Qualifications

• Strong experience with:
• Familiarity with:
• Knowledge of:
• Hands-on experience with:
• CI/CD:
• Python (primary), Bash scripting
• Monitoring & Reliability
• Understanding of: