AI Solution Engineer
Role details
Job location
Tech stack
Job description
We're looking for an experienced AI Solution Engineer to join our growing team. This is a client-facing, hands-on technical role that bridges the gap between business challenges and advanced AI capabilities. You'll collaborate closely with clients, sales, and development teams to design, prototype, and demonstrate AI-driven solutions that deliver measurable business value.
As a trusted advisor, you'll help shape cloud-based AI solutions, build proof-of-concepts, and showcase the power of technologies such as AWS Bedrock, Azure ML, Google Vertex AI, and OpenAI., * Collaborate with clients, sales, and technical teams to identify and shape feasible AI solutions.
- Design and build proof-of-concept AI prototypes that demonstrate value and technical viability.
- Translate business requirements into scalable AI/ML architectures using cloud AI services.
- Support the sales process through technical presentations, demonstrations, and proposals.
- Advise on model performance, architecture design, and deployment strategies.
- Ensure alignment with security, compliance, and cost optimisation (FinOps) standards.
- Communicate technical solutions clearly to both technical and non-technical audiences.
Requirements
Do you have experience in Machine learning?, Do you have a Bachelor's degree?, * Proven experience as an AI Solution Engineer, Pre-Sales Engineer, or AI Architect in an enterprise environment.
- Strong knowledge of LLMs/SLMs, fine-tuning, inference optimisation, and retrieval-augmented generation (RAG).
- Hands-on experience with at least two major cloud platforms (AWS, Azure, Google Cloud, OpenAI).
- Understanding of machine learning, data engineering, and big data principles.
- Familiarity with cloud security, AI landing zones, and AI cost optimisation.
- Excellent communication skills with the ability to translate technical detail into business value., * Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Cloud certifications (AWS, Azure, or Google Cloud AI/ML) are a strong plus.
Benefits & conditions
We recognise and reward your contributions through a flexible, people-first culture:
- Remote-first working environment with flexible hours.
- Private medical cover and 24/7 virtual GP access.
- Six volunteering days per year.
- Ongoing career development and certification support.
- Opportunity to work on leading-edge AI and cloud transformation projects.