AI Solutions Engineer

Location: London, Greater London, United Kingdom

Hours: 32 - 40 per week

Department: Tech & Digital, UK

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.

Your impact:

• Work at the intersection of business operations, application engineering, and AI enablement.
• Collaborate closely with departments such as Finance, Sales, Marketing, and HR to gain a detailed understanding of workflows, bottlenecks, and operational pain points.
• Build applications and automations on our Databricks-centric platform, using shared governance, data products, and AI capabilities as core building blocks.
• Simplify operational complexity by identifying repetitive tasks, fragmented processes, or disconnected tools and replacing them with targeted AI-powered workflows, internal applications, and intelligent automations.
• Work in a highly pragmatic engineering environment where delivering value quickly is essential.
• Build lightweight applications using technologies such as Databricks Apps, Streamlit, Gradio, or FastAPI.
• Work closely with the Platform, Data, and Reliability teams to ensure compliance 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 customise 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 seamless integration with the broader platform architecture.
• Contribute reusable patterns, workflows, and engineering practices that improve delivery speed across teams.

About the role and 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. 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.

Here’s what we offer you:

• Competitive salary commensurate with experience.
• 8.33% vacation pay and 27 vacation days per year.
• Hybrid working model with a 60/40 split: three days in the office, two days working from home.
• Full pension premium coverage.
• Performance bonus: annual bonus of one or two months’ salary based on performance.
• Monthly allowances for internet, vitality budget, lunch contribution, and support for home office setup.

What we expect from you:

• Several years of experience developing internal tools, business automation solutions, or process digitization solutions in enterprise environments.
• Hands-on experience with Databricks, including notebooks, jobs, Delta tables, Unity Catalog, Databricks Apps, Lakebase, or Vector Search.
• Extensive experience with Python-based application development and lightweight engineering frameworks.
• Familiarity with Streamlit, Gradio, FastAPI, dbt, or similar tools for rapidly building internal applications.
• Experience using AI coding agents or AI-assisted development workflows in day-to-day engineering work.
• Understanding of large language models (LLMs), prompts, orchestration patterns, and AI agent concepts.
• Familiarity with workflow automation platforms such as Microsoft Power Automate.
• Experience managing applications from development through to operational support and user adoption.
• Working knowledge of observability tools such as Grafana and modern monitoring practices.
• Ability to evaluate, improve, and maintain code across multiple stacks and technologies.
• Comfortable working closely with non-technical stakeholders in embedded business environments.
• Familiarity with TypeScript, React, Next.js, or Tailwind is a plus for specialized internal application use cases.

What you bring as a professional:

• Strong functional empathy and the ability to understand operational challenges before proposing solutions.
• A pragmatic mindset focused on delivering usable results quickly and iteratively.
• Ownership from initial concept through to production implementation and continuous improvement.
• Clear communication with technical, operational, and business audiences.
• An interest in AI-native engineering and modern application development workflows.
• A collaborative approach that balances speed, scalability, and engineering quality.
• Adaptability in fast-paced environments where priorities and opportunities change rapidly.

This position is open to all individuals in accordance with equal opportunity employer policies.