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
We are seeking a Senior AI Engineer focusing on automation responsible for designing, building, and optimizing AI-powered applications and agents that automate workflows across Signant Health. This role combines deep expertise in workflow automation platforms, prompt engineering, and context engineering to deliver intelligent automation solutions that improve operational efficiency and accuracy. The Senior AI Engineer will lead the development of n8n workflows, AI agent architectures, and integration patterns while mentoring team members and establishing best practices. Working closely with cross-functional teams, this individual will identify high-impact automation opportunities, architect scalable solutions, and drive the adoption of AI-powered automation throughout the organization. The ideal candidate brings extensive experience in building production-grade automation systems, a strong foundation in Python development, and proven ability to optimize LLM-based agents for reliability and accuracy in enterprise environments.
What you will do
Application Development
• Architect and develop sophisticated AI applications and agents that automate complex business workflows across the organization
• Design and implement end-to-end automation solutions using n8n, custom Python integrations, and LLM-based agent frameworks
• Build robust, scalable automation pipelines that integrate with internal systems, third-party APIs, and enterprise applications
• Develop reusable automation components, templates, and libraries that accelerate solution delivery
• Create intelligent document processing, data extraction, and content generation workflows using advanced AI techniques
• Lead the design of multi-agent systems that coordinate complex, multi-step automation processes
• Establish coding standards, design patterns, and architectural guidelines for automation development
Platform Optimization & Evaluation
• Design and implement comprehensive evaluation frameworks to measure agent accuracy, reliability, and performance
• Develop monitoring systems, observability dashboards, and alerting mechanisms for production automation workflows
• Optimize n8n workflow performance through efficient node design, error handling, and resource management
• Conduct systematic prompt engineering and context engineering to maximize automation accuracy and reduce hallucinations
• Lead A/B testing and experimentation to continuously improve automation outcomes
• Establish benchmarking methodologies and success metrics for automation initiatives
• Perform root cause analysis on automation failures and implement systematic improvements
Model Development & Fine-Tuning
• Lead selection and evaluation of LLMs and SLMs for specific automation use cases
• Design and implement inference optimization strategies to reduce latency and cost while maintaining quality
• Develop fine-tuning pipelines and approaches for domain-specific automation tasks
• Create and maintain evaluation datasets and test suites for model performance assessment
• Implement retrieval-augmented generation (RAG) patterns and knowledge base integrations
• Research and prototype emerging AI technologies for automation applications
• Establish model versioning, deployment, and rollback procedures
Security & Compliance
• Ensure all automation solutions adhere to Signant Health's security policies and healthcare industry regulations
• Implement secure credential management, data handling, and access control patterns in automation workflows
• Conduct security reviews of automation architectures and third-party integrations
• Design audit logging and compliance monitoring for automated processes
• Ensure proper data classification and handling throughout automation pipelines
• Collaborate with security teams to address vulnerabilities and maintain compliance certifications
Collaboration & Technical Leadership
• Mentor and provide technical guidance to AI Engineers and other team members on automation best practices
• Lead technical design reviews and architecture discussions for automation initiatives
• Partner with business stakeholders to identify automation opportunities and translate requirements into technical solutions
• Collaborate with the broader AI team to ensure alignment on standards, tools, and approaches
• Present technical concepts and automation capabilities to non-technical audiences
• Contribute to the AI automation roadmap and technology strategy
• Foster a culture of innovation, experimentation, and continuous improvement
• Represent Signant Health's AI automation capabilities to external partners and vendors
Preferred Qualifications
Education
• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
• Strong candidates without formal degrees will be considered based on demonstrated expertise through portfolio, open-source contributions, or professional track record
• AWS Solutions Architect or Developer certification preferred
• AWS AI/ML certifications are a plus
Experience — Required
• 7+ years of software engineering experience with strong proficiency in Python and production system development
• 3+ years of hands-on experience with workflow automation platforms, with strong expertise in n8n or similar tools (Zapier, Make, Temporal, Airflow)
• Extensive Python development experience with focus on automation, integrations, and API development
• Demonstrated expertise in prompt engineering and context engineering techniques for production systems
• Strong experience designing and implementing evaluation frameworks for AI systems
• Proven track record of delivering complex, enterprise-scale automation solutions
• Experience with RESTful API design, webhooks, and system integration patterns
• Solid understanding of LLM inference optimization, including techniques for latency reduction and cost management
• Experience with vector databases, embeddings, and RAG architectures
• Proficiency with version control (Git), CI/CD pipelines, and DevOps practices
• Experience leading technical teams or projects and mentoring engineers
Desired Qualifications
Experience — Preferred
• Experience building and deploying AI/ML applications in production environments
• Experience in healthcare, life sciences, or clinical trials industry
• Familiarity with clinical trial workflows, regulatory requirements (GxP, 21 CFR Part 11), and healthcare data standards
• Familiarity with modern AI frameworks (Strands, LangChain, CrewAI, LlamaIndex)
• Knowledge of model fine-tuning techniques and MLOps practices
• Experience with AWS services (Lambda, Step Functions, SQS, EventBridge) for automation
• Familiarity with Agentic AI patterns and autonomous agent architectures
• Experience with enterprise integrations (Salesforce, ServiceNow, Workday, Jira, Confluence)
• Background in natural language processing, information extraction, or document AI
• Experience building automation centers of excellence
Competencies & Personal Attributes
• Strong verbal and written communication skills
• Ability to complete high quality technical documentation
• Ability to quickly learn and apply new skills, procedures and approaches
• Ability to meet established timelines and work in a fast-paced environment
• Ability to multi-task and effectively handle changing priorities
• Ability to work in a team environment and establish effective work relationships with co-workers within and across functional areas
• Demonstrate extreme attention to detail and organization in all aspects of work
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. Signant Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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.
