Software Engineer Tech Lead

Job Summary:
Technical Lead – AI Engineering & Architecture
Reports to: Software Development Manager

Remote – UK

About the Role

We are looking for a highly experienced and hands-on Technical Lead to provide senior technical leadership across the organisation.

This is not a traditional management role focused only on people leadership or delivery coordination. We are looking for someone who still enjoys coding, solving technical problems, shaping architecture, and mentoring engineers.

You will play a key role in:

Defining scalable architecture across our growing product portfolio
Leading the adoption of AI-assisted development practices
Strengthening engineering quality, security, and compliance standards
Driving consistency and technical excellence across teams

This role combines architecture, hands-on engineering, AI strategy, mentoring, and technical leadership.

You will have the opportunity to work across both greenfield development and established legacy products, helping modernise existing platforms while also shaping the future architecture and technical direction of new solutions. This role offers the chance to influence technology decisions across the full product lifecycle, from innovation and new product development through to optimisation and transformation of existing systems.

Job Description:
What Success Looks Like
In this role, you will help deliver:
Clear and scalable technical architecture across all products
Consistent engineering standards and secure development practices
Successful adoption of AI-assisted engineering workflows
Improved engineering quality, scalability, and delivery consistency
Stronger technical capability and mentoring culture across teams
A technical roadmap aligned to long-term business growth

Key Responsibilities

Technical Architecture
You will:
Define and maintain the technical architecture across all products
Lead architectural decision-making and technical direction
Ensure solutions are scalable, secure, maintainable, and aligned with business needs
Recommend technologies, frameworks, and platforms to support future growth
Establish engineering standards, design patterns, and best practices
Improve consistency and collaboration across products and engineering teams
Manage the long-term technical roadmap, including technical debt prioritisation
Hands-On Technical Leadership
You will:
Remain actively involved in coding and technical delivery
Contribute directly to architecture, development, troubleshooting, and code reviews
Lead by example through high-quality engineering practices
Support teams with complex technical challenges and escalation points
Act as a senior technical authority across engineering teams
Balance engineering decisions across speed, scalability, security, and maintainability

AI Strategy & AI-Assisted Development
You will lead the adoption of AI-assisted engineering practices across the organisation.
This includes:
Defining standards, best practices, and guardrails for AI-assisted development
Supporting the use of AI tooling for:Code generation
Automated code review
Intelligent testing
Documentation support
Development acceleration

Establishing responsible AI governance aligned with ISO/IEC 42001 principles
Ensuring AI-assisted development practices are implemented securely and consistently
Promoting AI literacy and prompt engineering capability across engineering teams
Evaluating emerging AI technologies and identifying productivity opportunities

Security, Compliance & Engineering Standards
You will:
Lead secure-by-design engineering practices
Support ISO 27001 and ISO/IEC 42001 initiatives
Define and enforce coding standards, review processes, and quality expectations
Improve engineering quality metrics and continuous improvement practices
Support performance optimisation, resilience, scalability, and reliability
Lead vulnerability remediation and security improvement activities
DevOps & Automation
You will:
Architect and improve CI/CD pipelines
Champion infrastructure-as-code and deployment automation
Define standards for automated testing and release processes
Support release governance and environment management
Drive modern engineering automation practices
People & Team Development
You will:
Mentor and coach developers across all experience levels
Support technical growth and engineering excellence
Encourage knowledge sharing and collaboration across teams
Identify skills gaps and support development planning
Support technical recruitment, onboarding, and assessments
Help shape technical career progression pathways
Skills & Experience
Essential 
Experience with secure coding, vulnerability remediation, and performance optimisation
Senior engineering, architecture, or technical leadership experience, leading technical direction across complex software products or platforms
Hands-on software engineering capability with recent production coding experience
Strong proficiency in enterprise languages (C#, Java, or similar) and cloud platforms, with hands-on Azure experience.
Demonstrable experience driving AI-assisted development in real engineering teams - hands-on with AI-powered development tools, prompt engineering, and LLM-based workflows, plus an understanding of AI governance and responsible AI practices
Strong grasp of software architecture, scalable system design, DevOps, CI/CD, and automation tooling
Experience with secure coding, vulnerability remediation, and performance optimisation
Ability to mentor and influence technical teams, with strong communication skills across technical and non-technical stakeholders
Nice to Have
Experience working across multiple products or platforms
Experience within SaaS, transport, mobility, or regulated industries
Familiarity with ISO 27001, ISO/IEC 42001, or similar frameworks
Experience defining AI governance policies and engineering standards
Track record of improving engineering productivity through AI tooling
Experience working within agile and cross-functional engineering environments

Worker Type:
Regular

Number of Openings Available:    
1