AI Solutions Engineer

Location: United Kingdom / The Netherlands

Build AI-powered internal applications on our global Databricks platform.

Are you an engineer who enjoys solving operational challenges using AI, automation, and modern application development? Do you thrive in environments where speed, pragmatism, and business impact matter more than unnecessary complexity? At HeadFirst x Impellam, we are looking for an AI Solutions Engineer who works closely with business teams to deliver AI-powered applications that improve how work is done across the organization. 

In this role, you combine strong software engineering skills with an AI-first approach. You leverage AI coding agents as a force multiplier while maintaining ownership of the architecture, quality, scalability, and user adoption. You build practical applications quickly, integrate them into our global data platform, and continuously improve them based on real-world usage. 

Your impact 

As an AI Solutions Engineer, you work at the intersection of business operations, application engineering, and AI enablement. You collaborate closely with departments such as Finance, Sales, Marketing, and HR to gain a detailed understanding of workflows, bottlenecks, and operational pain points. 

You build applications and automations on our Databricks-centric platform, using shared governance, data products, and AI capabilities as core building blocks. Rather than creating isolated solutions, you contribute to a connected ecosystem where internal tools are scalable, secure, and reusable across regions and teams. 

A key part of your role is simplifying operational complexity. You identify where repetitive tasks, fragmented processes, or disconnected tools are holding teams back, and replace them with targeted AI-powered workflows, internal applications, and intelligent automations that employees actually use. 

You work in a highly pragmatic engineering environment where delivering value quickly is essential. This involves building lightweight applications using technologies such as Databricks Apps, Streamlit, Gradio, or FastAPI, while leveraging AI agents to accelerate development cycles and reduce delivery time from weeks to days. 

At the same time, you work closely with the Platform, Data, and Reliability teams to ensure that the solutions you build comply with engineering standards regarding governance, observability, scalability, and operational reliability. 

What you will do 

• Work closely with business teams to understand operational workflows, pain points, and opportunities for automation;  

• Deliver internal tools, AI-powered applications, and process digitization initiatives with a strong focus on usability and adoption;  

• Build solutions on top of the Databricks ecosystem using notebooks, jobs, Delta tables, Unity Catalog, Lakebase, and Vector Search;  

• Develop lightweight data applications using Streamlit, Gradio, FastAPI, Databricks Apps, or similar Python-native tools;  

• Guide AI coding agents to generate, refine, and validate production-ready code while maintaining engineering quality standards;  

• Translate business requirements into practical technical solutions that can be delivered quickly and refined continuously;  

• Create or customize AI agents, orchestration workflows, and intelligent automation capabilities;  

• Improve operational workflows using automation platforms such as Microsoft Power Automate or similar tools;  

• Implement observability and monitoring capabilities using Grafana and industry-standard telemetry practices;  

• Identify issues in production, resolve them quickly, and continuously improve solutions based on user feedback and adoption patterns;  

• Collaborate with Platform, Data, and Engineering teams to ensure that applications integrate seamlessly with the broader platform architecture; 

• Contribute reusable patterns, workflows, and engineering practices that improve delivery speed across teams.

About the roleand HeadFirst Group

You will be part of a growing AI-focused engineering team at HeadFirst x Impellam, working closely with the Global Platform, Data, and Engineering teams. While embedded within the business domains you support, you will operate within a shared international platform and engineering framework. 

By working with technologies such as Databricks, AI coding agents, and modern Python-native application tools, you help accelerate the organization’s transformation into an AI-enabled and operationally intelligent business. 

This role offers exposure to a wide range of business domains, modern AI engineering practices, and highly pragmatic application development in a fast-paced international environment.