AI Solutions Engineer
About the job
Bradford | Hybrid (2 Days Per Week Onsite) | £50,000 - £55,000
We're looking for an experienced AI Automation Developer to help shape and drive the future of AI across a growing organisation. This is a brand-new role where you'll have the opportunity to build AI solutions, establish governance and security standards, and help create a structured approach to AI adoption across the business.
This position offers the chance to move beyond simply using AI tools and take ownership of developing AI-powered applications, automations, and agents that deliver real business value. Over time, the role is expected to evolve into a leadership position within the AI function.
The Role
As the AI Automation Developer, you'll be responsible for designing and implementing AI-driven solutions while helping establish the frameworks, processes, and governance required to support long-term AI adoption.
This is a highly visible role that will work closely with stakeholders across the business to identify opportunities, automate processes, and introduce AI best practices.
Key Responsibilities
- Design, develop, and deploy AI applications and automation solutions.
- Build and implement AI agents using existing LLM technologies.
- Develop AI-powered workflows to improve business efficiency.
- Establish governance, security, and compliance standards for AI usage.
- Define and improve AI development pipelines and deployment processes.
- Work closely with business stakeholders to identify AI use cases and opportunities.
- Support AI-assisted software development initiatives.
- Help shape the long-term AI strategy and roadmap.
- Promote best practices around enterprise AI adoption and usage.
Essential Requirements
- Proven commercial experience building AI applications and automation solutions.
- Hands-on experience working with AI agents.
- Strong software development background with ideally 5+ years of development experience.
- Experience implementing AI solutions within a commercial environment.
- Strong understanding of software development lifecycle (SDLC) principles.
- Experience with governance, security, and compliance considerations.
- Knowledge of CI/CD pipelines and modern development practices.
- Excellent communication and stakeholder management skills.
- Ability to explain technical concepts to non-technical audiences.
- Experience working across the full lifecycle of software and automation projects.
Technical Requirements
- Strong Python development experience.
- OR strong .NET development experience.
- Experience integrating and working with existing LLM platforms.
- Understanding of AI-assisted development tools and workflows.
- Experience building secure, enterprise-level solutions.
Desirable Experience
- Experience introducing AI governance frameworks.
- Exposure to GitHub Copilot, Claude Code, Microsoft Copilot, or ChatGPT Enterprise.
- Previous experience leading AI initiatives.
- Experience mentoring or developing technical teams.
- Experience driving AI adoption within an organisation.
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This accreditation is testament to the amazing work, dedication and commitment that our entire team puts into empowering, developing and prioritising the wellbeing, not only of the business, but also of each other as individuals. We are blessed to have a team that embodies our culture and values, working collaboratively and innovatively to ensure the business remains sustainable. I’m extremely proud of each and every one of them.
