AI Augmented Engineering Lead
other jobs Harvey Nash
Added before 3 Days
- England,London,City of London
- Full Time, Permanent
- £100,000 - £140,000 per annum
Job Description:
AI-Augmented Engineering Lead - Leading Financial Services - Perm - London - Hybrid
About the role: We’re looking for an AI-Augmented Engineering Lead to help drive the adoption of AI-enabled engineering practices across its technology platform.
This role sits at the intersection of AI, DevOps, and Cloud Engineering, focusing on integrating AI-driven capabilities into the software development lifecycle to improve engineering productivity, software quality, and delivery velocity.
Responsibilities:
*Drive adoption of AI tools across the SDLC, including coding assistance, automated testing, and operational insights.
*Lead the evolution of a central AWS-based DevSecOps platform.
*Design and optimise CI/CD pipelines with embedded security and quality controls.
*Integrate AI capabilities into engineering workflows, monitoring, and incident analysis.
*Lead experimentation and POCs with emerging AI and cloud technologies.
Key Requirement:
*Strong experience with Generative AI, Machine Learning, or LLM-based solutions.
*Deep expertise in AWS cloud architecture and DevOps practices.
*Experience with Python, JavaScript, or React.
*Hands-on experience with Terraform or AWS CDK.
*Strong knowledge of CI/CD, containerisation (Docker/Kubernetes), and DevOps tooling.
*Experience working within large-scale engineering environments.
About the role: We’re looking for an AI-Augmented Engineering Lead to help drive the adoption of AI-enabled engineering practices across its technology platform.
This role sits at the intersection of AI, DevOps, and Cloud Engineering, focusing on integrating AI-driven capabilities into the software development lifecycle to improve engineering productivity, software quality, and delivery velocity.
Responsibilities:
*Drive adoption of AI tools across the SDLC, including coding assistance, automated testing, and operational insights.
*Lead the evolution of a central AWS-based DevSecOps platform.
*Design and optimise CI/CD pipelines with embedded security and quality controls.
*Integrate AI capabilities into engineering workflows, monitoring, and incident analysis.
*Lead experimentation and POCs with emerging AI and cloud technologies.
Key Requirement:
*Strong experience with Generative AI, Machine Learning, or LLM-based solutions.
*Deep expertise in AWS cloud architecture and DevOps practices.
*Experience with Python, JavaScript, or React.
*Hands-on experience with Terraform or AWS CDK.
*Strong knowledge of CI/CD, containerisation (Docker/Kubernetes), and DevOps tooling.
*Experience working within large-scale engineering environments.
Job number 3506123
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