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Solution Architect

Job in Woking, Surrey County, GU22, England, UK
Listing for: Clinisys
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    IT Consultant, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 50000 - 70000 GBP Yearly GBP 50000.00 70000.00 YEAR
Job Description & How to Apply Below

Building an AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities.

Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.

Clinisys has built an unrivalled reputation for deploying complex diagnostic networks and academic centres – and is the only provider to repetitively deliver to all disciplines end‑to‑end – tering healthier communities.

Role Description
  • To act in a consultative role, to inspire, lead and collaboratively work with customers, colleagues and partners in configuring the Clinisys software package to enhance the workflow of the clinical laboratory with Practice knowledge.
  • To keep abreast of ongoing and future laboratory regulations, working practices, products and technologies within the pathology discipline.
  • To provide technical assistance to the implementation of complex distributed environments with private, hybrid and cloud platforms.
  • To be the key technical subject matter expert in the design and deployment of the Clinisys LIMS Solution into Healthcare organisations within the UK and Republic of Ireland to satisfy the customer and business requirements.
  • Identify opportunities within customer solutions and internal delivery processes where AI technologies can add measurable value, such as automation, decision support, data validation, anomaly detection, or operational efficiency.
Responsibilities
  • Professional Services - World class delivery is at heart of what we do, ensure our delivery teams are well equipped with tools for automation and standardised roll outs and configuration.
  • To utilise and continue to develop the standardised methodology for replicable deployment of the Clinisys product suite.
  • Collaborate with multiple internal and external stakeholders to encompass a unified and scalable solution.
  • To understand and analyse client workflows and document a cohesive solution to achieve their projected target operating model utilising the best features and working practices of our software.
  • To be conversant with functionality of Clinisys product suite.
  • Comprehend the Customers’ requirements as specified in the PID (Project Initiation Document) and the design document presented at the Sales stage.
  • Continual customer engagement to promote:
    • Solution design.
    • Solution build and unit testing.
    • Solution end to end validation.
    • Solution transition into Service.
  • Demonstrating and promoting Clinisys core values of Simplicity, Promises, Customers and Teamwork.
  • Assessment and maintenance of Quality Assurance throughout the deployment lifecycle.
  • To identify opportunities within the SA scope where AI technology can add value.
AI Responsibilities
  • Identify and assess opportunities where AI and machine learning can improve operational efficiency, decision-making, or user experience.
  • Act as a technical authority to define how AI components integrate into existing application, infrastructure, and data architectures.
  • Assess risks associated with AI usage, including data quality, bias, model transparency, and operational impact, and ensure appropriate mitigations are designed in.
  • Promote AI literacy within the Solution Architect team and wider delivery teams by contributing to guidance, training materials, and knowledge sharing.
  • Stay informed on emerging AI capabilities and tools, advising on practical, value-driven adoption rather than technology for its own sake.
Knowledge, Skills & Abilities
  • Strong motivational skills – can deliver the tasks in difficult circumstances.
  • Excellent communications skills, able to articulate and document complex…
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