Lead AI Engineer

The Very Group

. Design, build and evolve Very’s Agentic AI platform across frontend tooling, AI gateways and backend LLM integrations .

Posted 11/7/2026full-timeLiverpool • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level capabilities in AWS Platform Engineering, Infrastructure as Code with Terraform, and the design and maintenance of Agentic AI platforms. Proven ability to lead technical decision-making, manage system SLAs, and mentor engineering teams while ensuring alignment with broader technology strategies.

Highest-signal resume keywords

AWS Platform EngineeringInfrastructure As Code DevelopmentTerraform ExpertiseAgentic AI Platform DesignGitLab CI Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS VPCAWS EC2AWS ECSAWS ECRAWS FargateAWS S3AWS Route 53AWS RDSAWS DynamoDBPython Development

Soft Skills

Strong Communication SkillsStakeholder Relationship Management

Tools & Technologies

GitLab CILinux AdministrationAWS Security Tooling

Industry Keywords

DevSecOps PracticesCI/CD PipelinesTechnical StandardsCost Optimisation TechniquesRoot-Cause Investigations

Tech Stack

Tools & technologies

AWSDynamoDBEC2LinuxPythonTerraform

About the role

Key responsibilities & impact

Design, build and evolve Very’s Agentic AI platform across frontend tooling, AI gateways and backend LLM integrations
Act as the technical decision-maker for AI platform architecture within the squad
Lead code reviews, system design sessions and technology spikes
Translate requirements into prioritised technical deliverables with the AI Technical Product Owner
Own system SLAs, metrics and monitoring, and lead root-cause investigations
Improve CI/CD pipelines and champion DevSecOps practices
Coach and mentor engineers while developing AWS and Terraform capability
Collaborate with architects and Engineering Managers to align the AI platform with the wider technology roadmap
Manage technical risk and technical debt, guiding long-term platform architecture
Share expertise internally and externally to strengthen Very’s engineering brand
Remain hands-on with code while defining engineering strategy and technical standards

Requirements

What you’ll need

Experience in a Senior or Principal AWS Platform Engineering role
Expert-level hands-on Infrastructure as Code development using Terraform
Proven hands-on experience designing, building and maintaining Agentic AI platforms
Understanding of frontend tooling, AI gateways and connecting them to LLM backends
Expert-level AWS knowledge, including VPC, EC2, ECS, ECR, Fargate, S3, Route 53, RDS, DynamoDB, API Gateway, Lambda, Transit Gateway, EBS, EFS, AWS Config and AWS CLI
Strong GitLab CI skills in pipeline development and administration
AWS security tooling experience and a security-first engineering mindset
Development experience in Python and/or other languages
Excellent Linux administration skills
Track record of defining best practices, technical standards and platform design at enterprise scale
Strong communication skills and ability to explain complex ideas to technical and non-technical stakeholders
Extensive experience managing internal and external stakeholder relationships
Thorough understanding of AWS cost optimisation techniques
Successful candidates must undertake credit, CIFAS and Right to Work checks; DBS check may be required for the role

Benefits

Comp & perks

Flexible, hybrid working model
£6500 flexible benefits allowance to suit your needs
30 days holiday + bank holidays
LinkedIn Learning access
Bonus potential (performance and business-related)
Up to 25% discount on Very.co.uk
Matched pension up to 6%
Reasonable adjustments and accessibility support during recruitment and employment
Inclusive culture and colleague networks
Potential remote interview option