[Remote] Medical Affairs AI Operations Engineer
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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