Agentic AI Engineer for AI-Driven DevOps & CI/CD

Korn Ferry; Greater London; On-site; GBP 76,000 - 127,000; Full time

Job summary

Korn Ferry is seeking a hands-on Agentic AI Engineer to join a major financial services organisation in London. You will design and implement agentic AI workflows that automate and accelerate software development activities, including coding, testing, quality assurance and CI/CD.

The role focuses on multi-step AI workflows across coding, review, testing and defect resolution, with integration into Git-based processes and DevOps practices.

Qualifications

• Hands-on engineering background in Software Engineering, SDET, Quality Engineering, Data Engineering, DevOps or Platform Engineering.
• Experience with Agentic AI tools such as GitHub Copilot and/or Databricks Genie.
• Ability to translate business problems into practical AI-driven technical solutions.

Responsibilities

• Design and build multi-step Agentic AI workflows across coding, code review, testing and defect resolution.
• Develop connected AI pipelines capable of generating code, executing tests, analysing failures and refining implementations.
• Assess existing repositories, architecture and technology stacks before implementing AI automation.
• Integrate Agentic AI capabilities with Git-based development processes and CI/CD pipelines.
• Embed validation controls, quality gates, evidence capture, safe stopping conditions and human-in-the-loop approval.
• Package Agentic AI workflows so they can be reused across teams and environments.
• Work with Software Engineering, QA and DevOps to scale AI-driven engineering capabilities.

Skills

Agentic AI engineering

Git workflows

CI/CD pipelines

Code generation

Tools

GitHub Copilot

Databricks Genie

Job description

Korn Ferry is seeking a hands-on Agentic AI Engineer to join a major financial services organisation in London. You will design and implement agentic AI workflows that automate and accelerate software development activities, including coding, testing, quality assurance and CI/CD.

The role focuses on multi-step AI workflows across coding, review, testing and defect resolution, with integration into Git-based processes and DevOps practices.