At a Glance
- Tasks: Lead the design of AI-enabled research platforms in a dynamic healthcare environment.
- Company: Join a forward-thinking NHS organisation shaping digital research capabilities.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to influence healthcare technology.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact on cutting-edge AI solutions in healthcare research.
- Qualifications: Experience in solution architecture and AI technology platforms is essential.
The predicted salary is between 70000 - 90000 £ per year.
Keystream are supporting an NHS organisation to seek an experienced Digital Research Solution Architect. The role is £400/£500 per day Outside IR35. Hybrid role - twice a week on site in London. Start: ASAP. Duration: 12 months to lead the architecture and design of cutting-edge AI-enabled research platforms within a highly regulated healthcare and research environment.
This role will play a key part in shaping the future of digital research capabilities, designing scalable and secure solutions across cloud and on-premise infrastructure, with a strong emphasis on AI/ML platforms, MLOps, Large Language Models (LLMs), and research-focused data architecture.
The successful candidate will work closely with research, clinical, digital, infrastructure, cyber security, and delivery teams to translate complex research and business requirements into secure, compliant, and scalable technical solutions.
Key Responsibilities- Lead end-to-end solution architecture and technical design for digital research and AI-enabled platforms.
- Define architecture principles across cloud, on-premise, and hybrid environments, ensuring scalability, resilience, and security-by-design.
- Design and support AI and machine learning architecture, including MLOps delivery frameworks, model lifecycle considerations, governance, and deployment patterns.
- Provide expertise around Large Language Models (LLMs) and Generative AI, including infrastructure considerations, integration approaches, data boundaries, context management, and operational implications.
- Design secure architectures aligned to research governance, data protection, and compliance frameworks, ensuring auditability and responsible AI principles are embedded.
- Collaborate with infrastructure teams on compute, networking, storage, and virtualisation architecture, including GPU-enabled workloads and modern hypervisor platforms.
- Support architecture across both BAU and delivery-focused initiatives, balancing strategic design with practical implementation.
- Work closely with delivery and engineering teams to ensure architectural principles are successfully translated into operational solutions.
- Contribute to architecture standards, technical governance, and roadmap development for digital research capabilities.
- Proven experience working as a Solution Architect / Technical Architect / Enterprise Architect within complex enterprise environments.
- Strong experience designing AI-enabled or research-focused technology platforms.
- Demonstrable exposure to Machine Learning Operations (MLOps) including deployment models, validation, governance, and operational processes.
- Experience with Large Language Models (LLMs) / Generative AI, with an understanding of infrastructure and architectural considerations.
- Strong cloud architecture experience (Azure, AWS or hybrid cloud environments).
- Experience designing secure-by-design architectures, including IAM, access controls, compliance, and governance.
- Knowledge of on-premise infrastructure, networking principles, and hybrid delivery models.
- Experience working alongside infrastructure teams supporting virtualisation / hypervisor technologies (e.g., Hyper-V, Proxmox, VMware, GPU-enabled environments).
- Strong stakeholder engagement skills, with the ability to bridge technical and non-technical audiences.
- Experience working within highly regulated environments (NHS, healthcare, life sciences, pharmaceutical, research, or similar).
- NHS, research, clinical, or academic health sector experience.
- Experience within research platforms, clinical systems, genomics, imaging, or data-intensive environments.
- Knowledge of responsible AI frameworks, model governance, and AI ethics.
- Familiarity with GPU-enabled compute environments and infrastructure for AI workloads.
- Experience supporting both BAU and project delivery architecture.
If you have the relevant experience for this role - please send your CV for immediate review. Please note, if you do not hear within a few weeks please note your application was unsuccessful on this occasion.
Research Digital Solution Architect in London employer: Keystream Group
Keystream is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the healthcare sector. With a strong emphasis on employee growth, we provide opportunities to lead cutting-edge AI-enabled research projects while working alongside talented professionals in a hybrid setting in London. Our commitment to a supportive culture and adherence to compliance ensures that you can thrive in your role while making a meaningful impact on digital research capabilities.
