Location: Miami, Florida or Ontario, Canada
Function: AI Engineering for Clinical Trial Management Systems
Key Responsibilities
Product modernization
Investigate, identify, and triage architectural improvements to modernize a core top 10 pharma product to be AI-enabled
Build, manage, and lead a team of developers to ship an industry leading CTMS product
Work cross-functionally with service delivery and commercial teams to help navigate and understand and translate technical designs to customer value
Work directly with product management to deliver customer-delighting features
AI Strategy & Architecture Leadership
Define and drive the enterprise AI architecture roadmap, aligning AI capabilities with product and business strategy
Architect AI-native systems that integrate LLMs, multi-modal models, and intelligent agents into core clinical platforms
Establish scalable patterns for model deployment, orchestration, evaluation, and governance in regulated environments
AI-Native Engineering Transformation
Champion and institutionalize AI-augmented software development practices across engineering teams
Drive adoption of LLM-powered workflows for code generation, testing, refactoring, documentation, and system design
Establish best practices for human-in-the-loop AI development and engineering productivity acceleration
Product Innovation & Intelligent Systems
Partner with Product, Clinical, and QA teams to embed AI-driven capabilities into Sitero’s platforms (e.g., automation, decision support, predictive insights)
Design and implement agentic systems that enhance workflows across clinical operations, safety, regulatory, and data management
Technical Leadership & Influence
Serve as a senior technical leader and advisor across the organization, influencing architecture decisions and long-term strategy
Mentor and elevate engineering talent, setting a high bar for technical excellence and AI fluency
Drive alignment across cross-functional teams in a globally distributed environment
Performance, Compliance & Scalability
Ensure AI systems meet GxP, regulatory, and data governance standards required in clinical research
Balance innovation with robustness, explainability, and auditability
Continuously optimize system performance, cost efficiency, and scalability
Minimum Qualifications
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
Preferred Qualifications
Master’s or PhD in Computer Science, Engineering, AI, or related field
Experience building AI systems in regulated environments (e.g., healthcare, life sciences, finance)
Deep fluency in SQL and data engineering best practices
Proven ability to lead enterprise-wide AI transformation initiatives
Experience operating in complex, global, cross-functional organizations
What Success Looks Like
AI is embedded as a core capability across Sitero’s platforms, not a bolt-on feature
Engineering teams operate with AI-native workflows, significantly increasing speed and quality
Scalable, compliant AI systems are deployed across clinical domains, driving measurable impact
