Director, Agentic AI and Clinical Trial Platforms

Accountabilities Lead and develop a multidisciplinary Agentic AI organization, including AI engineers, data scientists, software engineers, and platform engineers, while establishing a culture of technical excellence, accountability, collaboration, and innovation.

Define the strategy, architecture, and development roadmap for an AI Agent platform supporting reusable agents, intelligent automation, human-in-the-loop workflows, and orchestration across products, services, data, and enterprise systems.

Oversee the development of multimodal AI capabilities spanning text, clinical outcomes data, audio, sensor information, and other clinical-trial data sources.

Partner with product, clinical, regulatory, technology, and commercial teams to identify high-impact AI opportunities and translate them into clear roadmaps, production capabilities, and measurable outcomes.

Drive measurable improvements in adoption, workflow efficiency, quality, operational performance, and customer value through the application of agentic AI.

Lead the design and implementation of scalable cloud-based AI services using AWS SageMaker and related AWS AI/ML technologies.

Establish and maintain best practices across AI development, model and agent evaluation, orchestration, MLOps/LLMOps, data governance, monitoring, validation, observability, security, and responsible AI.

Ensure AI platforms meet enterprise standards for scalability, security, compliance, reliability, and clinical-trial quality and regulatory expectations.

Act as a senior technical and strategic advisor to executive leadership, contributing to the AI vision, clinical-trial transformation agenda, operating model, investment priorities, and broader technology strategy.

Lead complex initiatives from concept through production deployment, balancing innovation with delivery timelines, risk management, compliance, and business impact.

Mentor and develop technical leaders and team members while promoting continuous learning and high standards across the organization.

Requirements

Significant experience leading AI, machine learning, data science, or advanced analytics teams within technology-driven organizations.

Hands-on experience designing, building, deploying, and operating cloud-based AI/ML platforms and services, preferably within AWS environments.

Practical expertise with AWS SageMaker and related cloud-native services for model development, deployment, monitoring, and automation.

Proven experience designing and deploying generative AI and agentic AI systems, including LLMs, tool use, retrieval, agent orchestration, evaluation, observability, and production-grade architectures.

Experience developing multimodal AI solutions using both structured and unstructured data.

Strong software engineering and platform architecture expertise, including APIs, scalable services, security, DevOps/MLOps, and enterprise cloud infrastructure.

Demonstrated ability to lead complex technical programs from initial concept and strategy through successful production implementation.

Strong ability to translate clinical, customer, product, and business requirements into AI strategies, technical roadmaps, and investment priorities.

Excellent communication and stakeholder-management skills, with the ability to influence executives, technical teams, customers, and cross-functional partners.

Ability to balance experimentation and innovation with practical execution, regulatory requirements, security, risk, and measurable business outcomes.

Experience in life sciences, clinical trials, regulated healthcare technology, or another highly regulated, data-intensive environment is strongly preferred.

Familiarity with regulatory considerations, validation practices, privacy, and security requirements is an advantage.

Experience delivering AI-enabled SaaS products or enterprise platforms at scale is preferred.

An advanced degree in computer science, engineering, data science, AI/ML, biomedical informatics, or a related discipline is preferred.

Benefits

Full-time, remote opportunity available across Canada.

Opportunity to lead a high-impact AI organization at the intersection of artificial intelligence, healthcare technology, and clinical research.

Significant strategic influence over the development of next-generation agentic AI and clinical-trial platforms.

Collaboration with executive leaders and multidisciplinary teams across technology, product, clinical, regulatory, and commercial functions.

Opportunity to work on advanced generative AI, multimodal AI, cloud platforms, and production-scale agentic systems.

Professional growth through leadership, innovation, and exposure to complex enterprise and regulated technology environments.

Inclusive workplace committed to equal opportunity and consideration of qualified candidates.

Meaningful opportunity to contribute to technology that supports the development of life-changing therapies and improved clinical evidence.

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