Generative AI and Intelligent Systems Engineer - KTP Associate (26 Months Fixed Term)
Role details
Job location
Tech stack
Job description
The Generative AI and Intelligent Systems Engineer (KTP Associate) will have access to a wider range of benefits including a personal development budget of £4,333 to upskill during the project., The Generative AI and Intelligent Systems Engineer KTP Associate will work on:
- Designing the system architecture (presentation, application, data, integration layers).
- Developing multilingual conversational AI.
- Building NLP generative rendering pipelines.
- Developing AI-driven 3D generation and rendering systems.
- Designing and implementing ETL/data pipelines.
- Integrating AI systems into HM's existing digital platforms.
- Conducting market analysis and business model redesign.
- Developing training materials and embedding knowledge within the company.
- Producing academic dissemination outputs (conference/journal papers).
The role requires the successful candidate to:
- Lead the technical direction of the KTP project.
- Operate as the interface between the university academics and company stakeholders.
- Translate outputs into commercially viable solutions.
- Work independently while managing project milestones and deliverables.
- Present technical progress to senior management.
- Main detailed documentation and version control.
- Ensure compliance with ethical AI and data governance standards.
- Deliver measurable business impact through innovation.
The Generative AI and Intelligent Systems Engineer (KTP Associate) will be expected to interact with the senior management, suppliers and clients of the company as well as BCU academics.
The Generative AI and Intelligent Systems Engineer (KTP Associate) must also be adept at applying their knowledge to commercial projects, driving value and making an impact where possible, with an ability to solve problems and create innovative solutions.
The Generative AI and Intelligent Systems Engineer (KTP Associate) must have the following key attributes to ensure the project's successful completion.
Requirements
Birmingham City University are looking to appoint a high calibre graduate as a Generative AI and Intelligent Systems Engineer (KTP Associate)., The Generative AI and Intelligent Systems Engineer (KTP Associate) will hold a relevant degree. This might be a first degree (equivalent to a first class or 2:1 honours) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related discipline. A master's degree in Artificial Intelligence, Machine Learning, Generative Ai, or a closely related field will be advantage., * A minimum 2:1 undergraduate qualification in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related discipline with a First Class or 2:1 Honours degree.
- Strong programming skills (Python essential).
- Experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with Large Language Models (LLMs) and NLP systems.
- Experience designing APIs and system architectures.
- Knowledge of cloud computing environments (AWS, GCP, Azure).
- Experience with data modelling and ETL pipelines.
- Strong analytical and problem-solving skills.
- Experience working on innovation-led projects.
- Ability to translate technical solutions into commercial applications.
Desirable:
- Master's degree or PhD (awarded or near completion) in Artificial Intelligence, Machine Learning, Generative AI, or a closely related discipline will be an advantage.
- Experience with generative AI (Diffusion models, CLIP, NeRF, 3D GANs).
- Knowledge of 3D rendering (WebGL, GLTF, mesh processing).
- Experience integrating Speech-to-Text systems.
- Experience with multi-agent AI frameworks (e.g., LangChain).
- Knowledge of Explainable AI (SHAP, LIME).
- Experience with CAD/CAM systems.
- Experience in manufacturing or digital commerce environments.
- Publication record in AI or software engineering.
- Academic acumen to enable successful reporting through research publications in academic journals and marketing/training materials.
On a personal note, the Associate should be enthusiastic, motivated, punctual, conscientious, trustworthy and work well within a team.