Senior Applied AI Engineer

About the role

As trusted partners of AWS and Databricks, we help organisations design, build and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption, guiding clients from uncertainty to confident, production‑grade delivery. The Senior Applied AI Engineer will own engagement outcomes, define success, measure business impact and manage delivery and technical risk while designing end‑to‑end AI and GenAI systems.

Key responsibilities

• Own workstream and engagement outcomes; define success, measure business impact, and balance technical debt, speed and scalability.
• Design AI systems end‑to‑end across the lifecycle; make and justify key trade‑offs; evaluate model performance beyond simple accuracy.
• Explain AI concepts, trade‑offs and limitations to technical and non‑technical clients; lead code reviews; resolve technical disagreements constructively.
• Mentor engineers; contribute reusable components, accelerators and best practice; continuously improve team delivery.

Required profile

• Proven track record delivering AI models, systems and products to production in a consultancy or AI‑driven product organisation.
• Strong programming (Python and the wider tech stack), system design and testing methodologies.
• Experience integrating models/LLMs and deploying on cloud platforms (AWS and/or Databricks) with solid CI/CD practice.
• Ability to own delivery, manage stakeholders and guide other engineers with confidence.

Required skills

• Python
• AWS
• Databricks
• CI/CD

What we offer

• Remote‑first working with flexibility around client needs.
• Private Medical Insurance.
• Opportunity to work on meaningful AI projects across multiple industries.
• Collaborative culture focused on learning, excellence and continuous improvement.
• Competitive salary with clear progression pathways.