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. We must drive an AI-first sense of purpose and urgency. The Opportunity The AI Engineer builds, releases, and operates AI solutions used across Clinisys. Working with AI Business Partners and teams throughout the company, the role turns real business needs into secure, reliable, and cost-effective solutions and keeps those solutions performing after launch. The AI Engineer also strengthens the shared tools, reusable patterns, integrations, and data foundations that allow Clinisys to deliver future AI solutions faster and more consistently. Key Accountabilities AI Solution Engineering • Design and build AI solutions using agents, workflows, retrieval, and integrations. • Select models and technical approaches that balance quality, speed, and cost. • Build reusable components and contribute to solution standards. Enterprise Integration and Data • Connect solutions to Microsoft 365, ServiceNow, CRM, ERP, APIs, and similar systems. • Bring in enterprise data and model it for reporting and AI use. • Make data available securely across the Microsoft ecosystem and related platforms. Quality, Security, and Release • Build tests and evaluations for quality, safety, and accuracy. • Apply security, privacy, identity, and access controls from the start. • Release solutions through repeatable pipelines with clear technical documentation. Production Operations and Improvement • Monitor, support, and improve solutions after launch. • Troubleshoot performance, reliability, integration, and cost issues. • Communicate status and outcomes to technical and non-technical stakeholders. What You Bring • Strong software engineering fundamentals and hands-on AI or LLM solution experience. • Ability to work across application development, data engineering, cloud platforms, integration, and security. • Practical judgment in balancing solution quality, performance, reliability, safety, and cost. • Clear communication and disciplined documentation in a cross-functional environment. Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Data Science, a related field, or equivalent work experience. • 3+ years in software, solutions, data, or cloud engineering, including at least 1 year building AI or LLM solutions. • Strong Python and/or C#/.NET skills, TypeScript, and SQL. • Hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, or similar platforms. • Experience with RAG, prompt design, agents, API integration, data pipelines, and data modeling. • Familiarity with CI/CD, Git, infrastructure as code, cloud security, identity, and data privacy. Preferred Qualifications • Experience with multi-agent orchestration, MCP servers, or evaluation frameworks. • Knowledge of networking, operating systems, compute, storage, identity, security, and cloud architecture. • Enterprise application development and integration experience. • Experience with scalable data processing, AI/ML services, and workflow orchestration. • Experience in healthcare, life sciences, or another regulated industry.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
*Clinisys acquired Orchard Software July 2025 (see press release https://tinyurl.com/clinisysnews)*
Clinisys delivers over 45 years of laboratory informatics expertise – built through the combined strength of trusted companies and specialists brought together under one global brand.
Today, we support more than 7,000 labs across 39 countries, helping them manage data, maximize throughput, and ensure quality across healthcare, contract services, public health, water quality, environmental sciences, toxicology, crop science, food & beverage, and life sciences industries. With our newest addition of proven solutions, we’ve also expanded our reach into physician office, reference, and veterinary laboratories, further strengthening our commitment to excellence and innovation.
In the future, we aim to expand into biotech and pharma to continue growing our mission of enabling healthier and safer communities.
Our solutions are designed to scale for the evolving needs of modern labs, and we’re committed to supporting every type of laboratory or remote testing environment – from public or private sector, in-house or outsourced. With headquarters in Tucson, AZ, and key offices in Raleigh, NC, Carmel, IN, Ghent BE, Woking UK, Bangalore IN, Kolkata IN, and across Europe, Clinisys is proud to be the global leader in lab informatics, holding ~24% of the global market share.
At our core is a people-first culture – driven by passionate experts who’ve spent decades helping labs run smarter and more efficiently.
Informatics is more than technology; it’s our path to a more connected, resilient, and thriving world.
𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗵𝗼𝘄 𝗖𝗹𝗶𝗻𝗶𝘀𝘆𝘀 𝗶𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗹𝗮𝗯 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 – 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝘂𝘀 𝗮𝗻𝗱 𝗯𝗲 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗴𝗹𝗼𝗯𝗮𝗹 𝗵𝗲𝗮𝗹𝘁𝗵.
