AI Operations Engineer

This is a remote position.

Medical Affairs AI Operations Engineer (AWS)

A leading global pharmaceutical company is seeking a Medical Affairs AI Operations Engineer to support the scale-up and industrialisation of AI capabilities within its Medical Affairs function.

This is a technical, execution-focused role within an AWS-based ecosystem, focused on taking AI solutions from prototype through to production. The successful candidate will play a key role in ensuring AI platforms are robust, reliable, scalable and operationally ready within a highly regulated environment.

Key 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.
  

Candidate Profile

The ideal candidate will have strong experience in AI/ML operations, cloud architecture and productionising AI solutions within enterprise environments.

Essential Experience

• 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.
  

Desirable Experience

• 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.
  

Engagement Details

• Start date: July
  
• Contract length: 6 months
  
• Working pattern: Candidates must be able to offer flexibility and maximise overlap with US Eastern Time