Job Description & How to Apply Below
Clinisys is a leading global provider of intelligent informatics solutions, offering advanced technologies and expert services that transform modern laboratory operations across diverse sectors such as healthcare, life sciences, public health, environmental testing, water quality, toxicology, and contract services. Through its platform and cloud-based solutions, Clinisys empowers over 3,000 laboratories in 34 countries to generate millions of analytical and diagnostic results, and data insights every day, supporting more efficient and effective workflows for laboratories and testing environments worldwide.
Headquartered in Tucson, Arizona, and Woking, England, Clinisys' mission is to enhance the effectiveness of diagnostic workflows in any laboratory or testing environment and keep citizens and communities healthier and safer.
Clinisys' AI Philosophy
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.
Purpose (of
The Role )
As an AI Solutions Architect and a member of a dynamic and multi-functional Agile development team, you will play a pivotal role in championing AI-enabled capabilities into software development operations and commercialized product offerings. Clinisys is building a dedicated AI engineering team to transform how laboratories configure and interact with LIMS and LIS products. The AI Solutions Architect will lead the technical design and integration of agentic AI systems that simplify workflows, reduce configuration time, and align with our Microsoft-first technology strategy.
This role will set the technical standard for AI development at Clinisys, guiding both the dedicated AI team and enabling full-stack engineers to contribute effectively.
Practical experience in deploying AI solutions in a Production environment is essential. Your hands-on experience and past leadership experience using GenAI tools—such as ChatGPT, Copilot, etc. and your familiarity with the latest versions of popular LLMs such as Claude or GPT-X—as well as a strong foundational understanding of other AI domains (NLP, Predictive Analytics, Computer Vision) will be instrumental in creating operational efficiencies and commercialized product features.
You will collaborate with product managers, UX designers, and data scientists to deliver and champion AI-enabled, GenAI, and agentic solutions for our customers to help drive their productivity. You will lead the process improvement initiatives within the SDLC to ensure applicable areas are AI-enabled, creating agentic workflows were needed, which can include user-story generation, code-generation, test-automation, PR automation etc.
You will design, host, and deploy AI-enabled solutions—including GenAI, Predictive Analytics, LLM, and RAG—ensuring effective integration with Clinisys applications. You are also responsible for cost-efficient cloud architecture for both internal and external solutions.
Essential Functions
AI Architecture Design:
Lead the design of AI-enabled, GenAI, LLM and RAG, solutions that integrate with LIMS/LIS platforms to support sample tracking, test result interpretation, anomaly detection, and workflow optimization.
Architect scalable, secure, and compliant AI systems using Microsoft Azure services:
Azure OpenAI, Azure Machine Learning, Azure Functions, Azure Service Bus
Design agentic workflows that allow an LLM-powered assistant to autonomously build and modify configurations within LIMS/LIS…
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