Architect AI DevOps

About the role

You will shape architectural standards and guide the adoption of Generative AI, large language models, intelligent agents and automation across technology platforms and delivery processes. Working with engineering, product, security and platform teams, you will connect strategic goals with practical solutions that are reliable, maintainable and ready for production.

What you'll do

• Define end-to-end AI and machine learning architectures that meet requirements for performance, availability, security, scalability and cost
• Design enterprise solutions using large language models, prompt engineering, model tuning, efficient model deployment and secure integration
• Architect knowledge solutions using Retrieval-Augmented Generation, embeddings, vector databases and semantic search
• Design intelligent agents, tool integrations and workflow orchestration using APIs and the Model Context Protocol
• Establish standards for automated delivery pipelines covering source control, testing, security checks, artifact management, deployment and validation

What you need

• 6–10 years in devops & cloud
• AWS
• Docker
• Kubernetes
• Terraform
• Linux
• GCP
• Any graduate

Good to have

• CI/CD
• Shell scripting
• Git
• Azure
• Ansible
• Python

What you get