Agentic AI Engineer

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

Contract: 12-month contract

Rate: Up to £550 per day inside IR35

Role Overview

We are looking for 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 continuous integration.

Key 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 iteratively 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 different teams and development environments.
• Work closely with Software Engineering, QA and DevOps teams to scale AI-driven engineering capabilities.
• Strong hands-on engineering background within Software Engineering, SDET, Quality Engineering, Data Engineering, DevOps or Platform Engineering.
• Proven practical experience with Agentic AI tools such as GitHub Copilot and/or Databricks Genie.
• Experience designing multi-step AI workflows covering code generation, review, automated testing and iterative refinement.
• Strong understanding of automated testing and shift-left quality practices.
• Experience with Git, pull requests and CI/CD pipelines.
• Ability to translate business problems into practical AI-driven technical solutions.
• Experience implementing human-in-the-loop validation, safe failure handling and reusable automation patterns.

About Korn Ferry

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com