Corecom Consulting
AI Solutions Engineer
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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.
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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.
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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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