
Head of AI Infrastructure & Machine Learning Operations
- Boston, MA
- Permanent
- Full-time
- Establish a scalable AI runtime environment to support rapid prototyping and early deployment of LLM agents and agentic workflows.
- Design and implement a robust MLOps stack with model versioning, CI/CD pipelines, and automated monitoring for operational resilience.
- Build secure, compliant AI development and deployment architectures while aligning with AI governance framework.
- Collaborate cross-functionally to ensure infrastructure meets the evolving needs.
- Proven leadership in designing scalable, cloud-native or hybrid AI/ML platforms that support experimentation and secure enterprise deployment.
- Deep expertise in MLOps strategy and execution, including end-to-end pipelines, CI/CD, model versioning, and retraining workflows.
- Hands-on experience with model deployment and runtime management across varied environments (batch, real-time, REST, edge), using tools like MLflow, SageMaker, Databricks, or other equivalent.
- Strong background in monitoring, observability, and incident response — including drift detection, fairness tracking, latency alerts, and recovery protocols.
- Skilled in building secure, compliant AI infrastructure aligned with regulatory standards (e.g., GDPR, EU AI Act).
- Strategic thinker with strong operational and technical execution capabilities.
- Passionate about responsible AI, platform resilience, and infrastructure innovation.
- Comfortable working in high-ambiguity, fast-paced startup-like environments.
- Collaborative leader with strong interpersonal and communication skills.
- High integrity, accountability, and a commitment to ethical technology adoption.
- Be part of a dynamic and fast-paced team that makes a genuine impact on the success of the entire organisation.
- Opportunity to work with a diverse, agile, and global team.
- Exposure to all aspects of the business, cross-jurisdiction.
- A genuinely unique opportunity to be part of an expanding large global business.
- Competitive remuneration in line with skills and experience.
- Training and development opportunities.