Intelligent Solutions Engineer

• →Design and deliver automation, tools, and AI-enabled solutions
• →Translate business needs into practical, working solutions
• →Rapidly prototype and iterate: idea → working solution → improved solution 
• →Build integrations and workflows connecting data, systems, and platforms 
• →Use modern platforms (e.g. Microsoft Fabric, Power Platform, APIs) to deliver solutions 
• →Collaborate directly with stakeholders to refine and improve outputs 
• →Identify opportunities to apply AI and automation at scale 
• →Contribute to reusable components, standards, and best practices 
• →Build and maintain integrations across systems and platforms, including APIs, data flows, and workflows 
• →Apply reliable engineering practices (e.g. error handling, validation, retries) to ensure solutions work in real-world conditions 
• →Write clean, well-structured code (e.g. Python) using AI-assisted development tools where appropriate to accelerate delivery 
• →Support testing, monitoring, and troubleshooting to maintain solution performance and reliability 
• →Document solutions, workflows, and key logic to support reuse and maintainability 

You will act as the technical expert within the team, bringing depth in both building and reviewing solutions. 

This includes: 

• Writing and maintaining code where needed (e.g. Python, SQL, scripts, integrations)
• Reviewing and improving code written by others, including AI-generated code (e.g. pull requests)
• Ensuring solutions are scalable, maintainable, and fit for purpose
• Advising on the best technical approach for different use cases
• Raising the overall technical quality and standards of the team 

This is a hands-on role where you will both build solutions yourself and elevate how the team delivers them. 

• You will focus on building solutions 
• You will work directly with stakeholders, not through long delivery cycles
• You will use AI and automation as core tools, not add-ons
• You will see your work used quickly with real impact
• You will play a key role in shaping how the organisation delivers AI-driven solutions at scale 

What Success Looks Like 

• Delivering solutions that are used and valued by the business
• Turning manual processes into efficient, automated workflows
• Building tools that are scalable and reusable
• Raising the quality and robustness of the team’s technical output 

Why Join Us 

• Be part of a team evolving into a modern, AI-enabled solutions capability
• Work on high-impact, real-world problems
• Use and shape modern technologies including AI, automation, and data platforms
• Play a key role in defining how Enhesa builds and delivers solutions going forward