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 prospect at Signant Health.

About The Role

Signant Health is seeking a Senior AI Business Automation Engineer who works in two modes. In one, you embed with functional Subject Matter Experts — learning their workflows, including the workarounds and group knowledge that never appear in process documents, then designing, prototyping, and delivering the custom technical solutions that transform how those teams operate. In the other, you work on a small, focused delivery squad — leading or contributing — shipping AI-driven automation into a business unit at pace.

Both modes share the same spirit: find business processes ripe for reinvention, rebuild them with an AI-first mindset, and put working code in front of real users fast. The role sits inside IT and carries the full weight of our infrastructure, data, integration, automation, and information security standards required of a clinical-trial technology provider. Code ships to production through regular, incremental delivery against real workflow data — not to a slide deck.

Success is measured by how many workflows you've permanently transformed and how consistently your business teams start every task with an AI tool.

KEY ACCOUNTABILITIES – Function

- Flex between two modes: embedded with an assigned cohort of business SMEs, observing how work actually happens — the workarounds, shared spreadsheets, group knowledge — to find the highest-leverage workflows for an AI-first redesign; and contributing to or leading small delivery squads shipping AI-driven automation into a business unit at pace. Either way, the discipline is the same: get close to the real work, find the leverage, rebuild rather than automate as-is.
- Design, prototype, and deliver working solutions — custom tools, AI agents, automations, reusable skills — tailored to each engagement's workflows, delivered incrementally against real workflow data so value lands continuously, not just at project end.
- Coach and partner with the business users you work alongside — SMEs or squad stakeholders — through a progression: awareness, first win, regular AI integration, full workflow transformation.
- Develop and deploy AI agents using 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 — documentation, observability, and runbooks so other engineers can operate, diagnose, and evolve it without you.
- Recognise patterns across engagements and scale what works: a tool built for one SME should become reusable for peers; a proven pattern should be documented for other engineers.
- Translate observed business problems into technical solutions and share wins visibly with your cohort and leadership, articulating ROI, effort, and risk honestly enough to make prioritisation easy.
- Participate in end-to-end testing and quality validation of AI, automation, and integrated solutions before production deployment.
- Use AI development tools fluently throughout the build lifecycle — coding assistants (Claude Code, Cursor, GitHub Copilot) for rapid prototyping, LLMs for mining workflow signals from tickets and transcripts, AI-assisted drafting of designs, runbooks, and tests — while applying rigorous evaluation discipline (golden datasets, eval harnesses, regression suites, hallucination/grounding checks, human-in-the-loop checkpoints) before production deployment.
- Ensure automation solutions meet enterprise standards for security, scalability, and maintainability, with working knowledge of SOC 2 and ISO 27001 compliance requirements.
- Mentor both directions: upskill business users to build and maintain their own AI-assisted workflows, and support junior engineers with reusable patterns, solution designs, runbooks, and executive-ready status reports.
- Participate in and extend internal automation platforms to support more advanced workflows, reusable modules, and greater process autonomy.

Knowledge, Skills & Attributes

Essential:

- 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 building with the modern AI development toolkit: LLM APIs (Anthropic, OpenAI, or equivalent), MCP servers and clients, agent frameworks and agentic workflow patterns, AI coding assistants as a daily driver, structured prompt engineering, retrieval-augmented generation grounded in enterprise data, and eval harnesses for measuring agent accuracy and safety in production.
- Proficiency in JavaScript/TypeScript and Python; experience with Git, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP).
- Ability to communicate technical solutions clearly to engineering teams and executives; experience authoring business cases, solution designs, and implementation roadmaps.
- Strong analytical and problem-solving skills, with a passion for continuous improvement and delivering measurable business outcomes through technology.
- Demonstrated ability to discover real workflows by working closely with practitioners — surfacing 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 lead or contribute on a squad of 2–4 engineers, hold a clear delivery line under time pressure, and partner well with stakeholders who expect working software fast.

Desirable:

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

Platform-Specific Requirements – Dot Compliance Track

Essential:

- 3+ years of hands-on experience configuring and extending the Dot Compliance eQMS (built on Salesforce), including CAPA, Deviations, Audits, Change Control, Document Control, and Training Management workflows.
- Proven experience building and deploying custom Salesforce Apex triggers/classes, Lightning Web Components, and Flow automations in a validated Dot Compliance production environment.
- Proficiency in Apex and SOQL, plus JavaScript/TypeScript and Python, for scripting and integration on the Salesforce/Dot Compliance platform.
- Experience integrating AI/LLM APIs into Dot Compliance quality workflows (e.g. automated CAPA root-cause drafting, deviation triage, audit-readiness summarisation) grounded in regulated GxP data.

Desirable:

- Salesforce Platform Developer I/II certification and/or Dot Compliance administrator or configuration credentials.

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 new hires are required to be verified through a thorough background check and identity verification to confirm eligibility for employment.

Unsolicited resumes submitted by agencies or third-party recruiters directly to hiring managers or any Signant Health employee will not be considered and will not obligate Signant Health to any fees or terms associated with the submission.

📌 Senior AI Business Automation Engineer (Dot Compliance) - Technology IT (Hyderabad)
🏢 Signant Health
📍 Hyderabad