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 7,000 laboratories in 42 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 AIfirst organisation is central to Clinisys' purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AIenabled, cloudbased 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 42 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AIenabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.

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 robust 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.

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 products

Create reference implementations and reusable components for full-stack engineers to extend AI functionality

Define API contracts and integration patterns between AI services and product backends:

.NET (C#), RDBMS, SQL Server , Oracle, NoSQL, Azure Cosmos, MongoDB, RESTful APIs

Data Integration & Governance: Architect secure and scalable pipelines for ingesting structured and unstructured lab data (e.g., Partner with lab directors, pathologists, and clinical informatics teams to translate diagnostic and operational needs into AI capabilities.

Collaborate with product engineering teams to embed AI capabilities into existing UIs and workflows

Model Development & Deployment: Oversee the lifecycle of AI models, including training, validation, deployment, and monitoring in regulated environments.

Compliance & Explainability: Ensure AI solutions meet regulatory standards and provide explainable outputs suitable for clinical environments.

LLMs and RAG for lab report summarization, computer vision for slide analysis)



and lead proof-of-concept initiatives.

Strong architectural thinking with the ability to design scalable, modular, and secure AI systems

Deep understanding of large language models (LLMs) and RAG, agentic systems, and workflow orchestration

Proficiency in both Python and .NET (C#) for building production-grade AI services and APIs

Expertise in Microsoft Azure services, including Azure OpenAI, Azure ML, and Azure DevOps

Familiarity with regulatory and compliance frameworks relevant to healthcare and life sciences

Required Experience & Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

8+ years of experience in software architecture or engineering

3+ years of experience designing and implementing AI/ML systems in production environments

Demonstrated experience with Microsoft Azure cloud services and infrastructure

Proven track record of integrating AI systems into enterprise software products

Preferred Experience & Education

Master's degree in Computer Science, Data Science, or a related field

Experience in regulated industries such as healthcare, life sciences, or environmental sciences

Familiarity with laboratory information systems (LIMS/LIS) or scientific data workflows

Experience with embedding AI assistants or chatbots into enterprise applications

Knowledge of prompt engineering, vector databases, and retrieval-augmented generation (RAG)

Provide technical leadership and mentorship to AI engineers and full-stack contributors

Help define future team structure and hiring needs as the AI initiative scales

AI Architecture Design: Lead the design of AI/ML solutions that integrate with LIMS/LIS platforms to support sample tracking, test result interpretation, anomaly detection, and workflow optimization.

Data Integration & Governance: Architect secure and scalable pipelines for ingesting structured and unstructured lab data (e.g., Clinical Collaboration: Partner with lab directors, pathologists, and clinical informatics teams to translate diagnostic and operational needs into AI capabilities.

Model Development & Deployment: Oversee the lifecycle of AI models, including training, validation, deployment, and monitoring in regulated environments.

Compliance & Explainability: Ensure AI solutions meet regulatory standards and provide explainable outputs suitable for clinical environments.

LLMs for lab report summarization, computer vision for slide analysis) and lead proof-of-concept initiatives.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.

📌 AI/ML Solution Architect (Bengaluru)
🏢 Clinisys EMR
📍 Bengaluru