Note: The job is a remote job and is open to candidates in USA. Tiger Resourcing Group is a leading global pharmaceutical company seeking a Medical Affairs AI Operations Engineer to support the scale-up and industrialisation of AI capabilities within its Medical Affairs function. This technical role focuses on deploying AI solutions from prototype to production, ensuring they are robust and operationally ready within a regulated environment.

Responsibilities

• Design, build and manage AI infrastructure and architecture within AWS environments
• Support the deployment and scaling of AI/ML solutions from prototype into production
• Define and implement technical standards, evaluation frameworks and validation processes for AI solutions
• Establish monitoring, governance and trust mechanisms to ensure AI platforms operate reliably and transparently
• Work closely with technical, data science, product and Medical Affairs teams to enable scalable AI delivery
• Ensure AI platforms meet operational readiness standards, including reliability, performance, security and maintainability
• Support the creation of repeatable frameworks and best practices for AI solution deployment
• Contribute to continuous improvement across AI operations, MLOps processes and cloud architecture
• Help ensure AI initiatives are delivered in line with the requirements of a regulated pharmaceutical environment

Skills

• Strong experience in AI/ML Operations, MLOps or AI platform engineering
• Strong AWS cloud architecture experience
• Proven experience deploying and scaling AI/ML solutions into production
• Experience designing robust, reliable and scalable technical infrastructure
• Understanding of evaluation, validation, monitoring and governance frameworks for AI solutions
• Ability to work across technical and business teams in complex enterprise environments
• Strong understanding of operational excellence, reliability and production readiness
• Experience working within pharmaceutical, healthcare, life sciences or another regulated industry
• Exposure to Medical Affairs, clinical, scientific or regulated data environments
• Experience supporting enterprise AI transformation or AI industrialisation programmes
• Knowledge of responsible AI, AI governance, model monitoring and trust frameworks
• Experience working with global teams across multiple time zones

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