Job Description

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 efficient, 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-hosted or cloud) with REST API and webhook integrations across enterprise SaaS platforms.
• 2+ years of experience building with the modern AI development toolkit: LLM APIs (Anthropic, OpenAI, or equivalent), MCP servers and clients, agent frameworks, AI coding assistants used as a daily driver, structured prompt engineering, retrieval-augmented generation, and eval harnesses for production.
• Proficiency in JavaScript/TypeScript and Python; experience with Git, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP).
• Demonstrated ability to discover real workflows by working closely with practitioners — surfacing the workarounds, shared spreadsheets, and undocumented group knowledge that determine whether an AI solution works on real edge cases.
• Comfortable operating in small, high-velocity delivery teams — able to step into either a lead or contributor role on a squad of 2–4 engineers and hold a clear delivery line under time pressure.
• Ability to communicate technical solutions clearly to both engineering teams and executive stakeholders, with demonstrated experience authoring business cases, solution designs, and implementation roadmaps.

Desired Qualifications
• Relevant professional certifications in IT service management, project management, or enterprise automation platforms (e.g. ITIL, PMP, or platform-specific certifications).
• Experience with iPaaS integration platforms (Boomi, MuleSoft, or Workato) connecting enterprise systems including ERP, HRIS, CRM, and ITSM tooling.
• Global experience collaborating with distributed teams to deliver enterprise technology initiatives.
• Experience using AI to discover and redesign workflows — analysing transaction histories, ticket logs, or content repositories with LLMs to surface bottlenecks, or building agentic prototypes to test a hypothesis before committing to a production build.

Candidates must demonstrate depth in below tracks. Track-specific requirements are in addition to the common requirements above.

Track A — General Enterprise
Essential:
• Proven experience building and deploying enterprise platform extensions, custom scripting behaviours, and AI agent integrations in production service management and workflow environments.
• Proficiency in Groovy, in addition to JavaScript/TypeScript and Python, for scripting in enterprise automation platforms.
• Experience integrating AI/LLM APIs into production workflows across a broad set of enterprise SaaS platforms (Finance, Legal, HR, Operations, Commercial, or similar).
Desirable:
• Experience with platforms such as Boomi, UiPath, Salesforce, Snowflake, or Jira in cross-functional automation contexts.

Track B — Atlassian
Essential:
• 3+ years of hands-on Atlassian developer experience across Jira, Jira Service Management, Confluence, Rovo, Forge, and ScriptRunner.
• Proven experience building and deploying Atlassian Forge applications, ScriptRunner Behaviours, and Rovo Agents in production Jira and JSM environments.
• Proficiency in Groovy (for ScriptRunner) in addition to JavaScript/TypeScript and Python; experience with the Atlassian Teamwork Graph as a grounding source for LLM-based automation.
• Experience grounding retrieval-augmented generation in Confluence and Jira content, and building Rovo Agent workflows for Atlassian-native automation.
Desirable:
• Atlassian Certified Professional (ACP) in Jira Administration and/or Jira Service Management.
• Experience with Atlassian Data Center administration, including disaster recovery planning with defined RTO/RPO objectives for automation-dependent systems.

Why Signant Health?
At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission.

We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo.

If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it.

At Signant Health, accepting difference isn't enough — we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients, and our community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Prior to their start date, all candidates are required to be verified through a thorough background check and identity verification to confirm eligibility for employment.
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