DevOps / AI Engineer

DevOps / AI Engineer

We are looking for a DevOps / AI Engineer with strong experience in modern DevOps practices and emerging GenAI-enabled engineering capabilities for our client (Global IT services and consulting company) and end client is a Bank . The ideal candidate will be responsible for delivering end-to-end software delivery lifecycle solutions while ensuring reliability, scalability, security, and compliance in enterprise environments.

Role Focus

• End-to-end software delivery lifecycle

• Infrastructure as Code (IaC), CI/CD, monitoring, and system reliability

• Strong understanding of enterprise environments, controls, and compliance requirements

• Ability to manage work and deliverables independently

• Ability to support GenAI-enabled engineering practices (e.g., AI-assisted development/operations) while adhering to enterprise governance, security, and risk controls

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines (e.g., Jenkins)

• Automate infrastructure provisioning and configuration (e.g., Ansible, Terraform)

• Ensure high availability, scalability, and security of systems

• Collaborate with developers, QA, and IT operations to streamline releases

• Troubleshoot deployment, build, and infrastructure issues

• Maintain configuration management tools (Ansible)

• Ensure compliance with enterprise controls and regulatory requirements

• Work independently to deliver on assigned tasks and projects

• Utilize Jira and Confluence for work tracking and documentation

• Enable and operationalise GenAI/LLM-based tooling in the DevOps toolchain (where approved), including secure access, environment configuration, and integration into CI/CD workflows

• Implement guardrails for GenAI usage (e.g., data handling, prompt/content logging where required, secrets protection, model/tool access controls) aligned to enterprise policies

• Support reliability and observability for GenAI-enabled services (e.g., monitoring latency, error rates, cost/usage, and drift/quality signals where applicable)

Core Skills

• Scripting/Programming: Bash, Python, Shell

• CI/CD Tools: Jenkins, GitLab CI, Azure DevOps

• Containerization: Docker, Kubernetes

• Infrastructure as Code: Ansible, Terraform

• Source Control: Git, Bitbucket

• Security & Compliance: Understanding of DevSecOps, secrets management, enterprise controls, and compliance

• Familiarity with Jira and Confluence

• GenAI/LLM Fundamentals: Understanding of LLM concepts (prompting, embeddings, RAG, model limitations), and how to apply them safely in engineering workflows

• GenAI Tooling & Integration: Experience using and integrating GenAI-assisted tools (e.g., code assistants, chat-based ops assistants) and/or APIs into developer/DevOps workflows

• Responsible AI & Data Handling: Awareness of privacy, IP, data classification, and secure usage patterns when working with GenAI tools in enterprise environments

Preferred

• Experience supporting GenAI platforms/services in production (e.g., model/API deployment patterns, prompt/version management, evaluation/monitoring, and cost controls)

Ideal for someone who:

Enjoys working independently, thrives in enterprise environments, and is passionate about combining DevOps with cutting-edge AI capabilities.

📩 Interested or know someone who fits? Feel free to reach out or apply!

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