AI Solutions Engineer

Corecom Consulting; Bradford; On-site; GBP 80,000 - 120,000; Full time

Job summary

Corecom Consulting is seeking an experienced AI Automation Developer to shape AI strategy and deliver enterprise-grade AI applications and automations. You'll build AI-powered workflows, establish governance and security standards, and work with stakeholders to identify opportunities.

Over time, the role may evolve into a leadership position within the AI function. This is a brand-new role with strong emphasis on governance, secure development practices, and scalable AI adoption across the

Qualifications

• 5+ years of software development experience.
• Experience designing AI-powered solutions.
• Excellent communication with stakeholders.
• Solid understanding of SDLC and governance/security considerations.
• Experience leading AI initiatives or teams.

Responsibilities

• Design, develop, and deploy AI applications and automation solutions.
• Build AI agents using existing LLM technologies.
• Develop AI-powered workflows to improve efficiency.
• Establish governance, security, and compliance standards for AI usage.
• Define and improve AI development pipelines and deployment processes.
• Collaborate with stakeholders to identify AI use cases and opportunities.
• Shape long-term AI strategy and roadmap.
• Promote best practices for enterprise AI adoption.

Skills

Software development

5+ years experience

SDLC knowledge

Governance & security

Stakeholder management

Explain tech concepts

AI initiatives

CI/CD pipelines

AI adoption

Leadership

Tools

GitHub Copilot

Claude Code

Microsoft Copilot

ChatGPT Enterprise

Job description

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.
• Help shape the long-term AI strategy and roadmap.
• Promote best practices around enterprise AI adoption and usage.
• 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

• Experience integrating and working with existing LLM platforms.
• Understanding of AI-assisted development tools and workflows.
• Experience building secure, enterprise-level solutions.
• 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.