Head of AI

The core responsibilities for the job include the following:

Technical Strategy and Architecture:

• Define a technical roadmap for evolving from prompt-based systems to RAG and AI agents.
• Drive architectural decisions for scalable, cost-effective Gen AI solutions in healthcare.
• Oversee model evaluation, selection, and deployment strategies across multiple medical specialities.
• Ensure technical debt management and maintainable code standards across the team.
• Lead technical design reviews and architecture discussions.
• Stay current with Gen AI research and translate innovations into product capabilities.

Product and Project Delivery:

• Collaborate with Product, Clinical, and Business teams to translate requirements into technical solutions.
• Manage project timelines, resource allocation, and delivery commitments for Gen AI initiatives.
• Drive cross-functional collaboration to ensure seamless integration of AI capabilities.
• Oversee A/B testing, experimentation, and data-driven decision-making for AI features.
• Ensure compliance with healthcare regulations (HIPAA) and coding standards (ICD-10 CPT).

Operational Excellence and Cost Management:

• Implement monitoring, observability, and SLA management for production Gen AI systems.
• Drive cost optimisation initiatives for LLM usage, infrastructure, and data processing.
• Establish best practices for Gen AI MLOps, including model versioning and deployment pipelines.
• Ensure system reliability, scalability, and performance optimisation.
• Lead incident response and post-mortem processes for AI system issues.

Strategic Planning:

• Partner with leadership to define Gen AI strategy and competitive positioning.
• Evaluate build vs. buy decisions for Gen AI capabilities and tooling.
• Drive innovation initiatives and proof-of-concept development for new AI applications.
• Represent engineering in executive discussions about the AI roadmap and investment priorities.

The core requirements for the job include the following:

Leadership and Management Experience:

• 3+ years of engineering management experience, preferably with AI/ML teams.
• Proven track record of managing and scaling engineering teams (10+ people).
• Experience hiring, developing, and retaining top engineering talent.
• Strong communication skills with the ability to influence across all organisational levels.
• Experience managing remote/hybrid teams and fostering inclusive team culture.

Gen AI and Technical Expertise:

• 3+ years of hands-on experience with Deep Learning, Large Language Models and Gen AI applications.
• Deep understanding of RAG architectures, vector databases, and AI agent frameworks.
• Experience with production Gen AI systems: deployment, monitoring, and cost optimisation.
• Knowledge of model evaluation, fine-tuning, and prompt engineering best practices.
• Understanding of MLOps practices for LLM deployments and model lifecycle management.

Healthcare and Regulatory Knowledge:

• Experience with healthcare technology, clinical workflows, or medical data (preferred).
• Understanding of healthcare compliance requirements (HIPAA, FDA regulations).
• Knowledge of medical coding standards (ICD-10 CPT, SNOMED-CT) is a plus.
• Experience with regulated industries and quality assurance processes.