About Signant Health At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency. Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more effective, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals. If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting-edge AI technologies — you will find purpose and opportunity at Signant Health. About the Role Signant Health is seeking a Senior AI Business Automation Engineer who works in two complementary modes. In one mode, you embed directly with functional Subject Matter Experts — sitting shoulder-to-shoulder with the people doing the work, understanding their workflows including the workarounds and group knowledge that never appear in process documents, and then designing, prototyping, and delivering the custom technical solutions that transform how those teams operate. In the other mode, you work on a small, focused delivery squad — sometimes leading, sometimes contributing — tasked with shipping AI-driven automation into a business unit at pace. In both modes the discipline is the same: get close to the real work,



find the highest-leverage process to reinvent, and put working code in front of real users quickly. The role lives inside IT and carries the full weight of our infrastructure, data, integration, automation, and information security standards required of a clinical-trial technology provider. Your measure of success is the number of workflows you have permanently transformed and the extent to which the business teams you work with start every task with an AI tool. What you will do - Flex between two operating modes: embed directly with a cohort of business SMEs to surface the highest-leverage workflows to reinvent with an AI-first design; and contribute to or lead small, focused delivery squads tasked with shipping AI-driven automation into a business unit at pace. - Design, prototype, and deliver working solutions — custom tools, AI agents, automations, and reusable skills — tailored to each engagement's specific workflows, using a cadence of regular incremental delivery against real workflow data. - Coach and partner with the business users you work alongside, taking them through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation. - Develop and deploy AI agents leveraging LLMs and Model Context Protocol (MCP) integrations, end-to-end automations across REST APIs, webhooks, and third-party SaaS, and secure data pipelines — built to enterprise standards.



- Build every solution for handoff from day one — technology choices, documentation, observability, and runbooks designed so other engineers can operate and evolve the solution without ongoing involvement from you. - Recognise patterns across engagements and systematically scale what works — tools and transformation patterns made reusable for peers and documented for other engineers. - Translate observed business problems into technical solutions and share wins visibly within your cohort and with leadership, with ROI, effort, and risk articulated to make prioritisation decisions easy. - Participate in end-to-end testing and quality validation of AI, automation, and integrated solutions prior to production deployment. - Use AI development tools fluently throughout the build lifecycle — AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot), eval harnesses, golden datasets, regression suites, and human-in-the-loop checkpoints — to validate accuracy, safety, and business alignment before production deployment. - Ensure automation solutions meet enterprise standards for security, scalability, and maintainability, including SOC 2 and ISO 27001 compliance requirements for automation and data handling. - Mentor both directions: upskill business users to build and maintain their own AI-assisted workflows, and support junior engineers by establishing reusable patterns, solution designs, and runbooks. Preferred Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. - 5+ years of experience in enterprise automation, software development, or IT engineering. - Hands-on experience designing and operating workflow automation (self-ho

📌 Senior Ai Business Automation Engineer (Atlassian) - Technology It (Hyderabad)
🏢 Signant Health
📍 Hyderabad