Principal Software Engineer leading the design and implementation of AI-powered Clinical Trial Management Systems. Driving product innovation and shaping AI integration in clinical research applications.
Responsibilities
Define and lead the next generation of AI-powered Clinical Trial Management Systems
Architect scalable, AI-native systems across the technology ecosystem
Drive product innovation and internal engineering transformation
Shape how AI is embedded into platforms and software development processes
Build, manage, and lead a team of developers to ship an industry-leading CTMS product
Work cross-functionally with service delivery and commercial teams
Define and drive the enterprise AI architecture roadmap
Establish scalable patterns for model deployment, orchestration, evaluation, and governance
Champion AI-augmented software development practices across engineering teams
Ensure AI systems meet GxP, regulatory, and data governance standards
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
10+ years of experience in software engineering, with deep expertise in distributed systems and full-stack architecture
5+ years in senior technical leadership roles, driving architecture and influencing cross-functional teams
7+ years designing and scaling machine learning systems and infrastructure in production environments
Proven experience with modern AI techniques, including LLMs, multi-modal models, and agent-based systems
Deep hands-on experience integrating AI into real-world applications and production systems
Demonstrated expertise in AI-augmented development workflows and engineering productivity tooling
Experience working with large-scale data systems, high-performance computing, or cloud-native architectures
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