Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Dyad is seeking a Head of AI to lead a team designing and operationalizing a graph-integrated generative AI architecture. This senior, hands-on technical leadership role focuses on building production systems that handle unstructured clinical text, structured knowledge, and generative AI. The role requires a deep, integrative understanding of machine learning and language foundations to bridge NLP pipelines, LLM-based reasoning, and knowledge graph grounding for regulated healthcare environments.

Responsibilities

• Design and own end-to-end AI architectures integrating NLP pipelines, LLM reasoning, and knowledge graph grounding.
• Define how structured semantics constrain, validate, and guide generative outputs.
• Make pragmatic architectural decisions balancing accuracy, performance, and engineering effort.
• Set standards for system design patterns across the Applied AI stack.
• Ensure AI features are production-ready and aligned with product intent.
• Coordinate technical work and break product requirements into implementation plans.
• Ensure alignment between NLP components, graph systems, and application layers.
• Represent Applied AI in cross-functional technical discussions.
• Define and maintain evaluation frameworks for hallucination detection, precision, and recall.
• Implement structured output approaches and design iterative feedback loops.
• Design AI workflows that embed traceability, auditability, and data minimization.
• Collaborate with Clinical Safety and QARA teams to manage architectural risk.

Requirements

• Master's degree in computer science with an AI focus or equivalent.
• 5+ years of commercial experience delivering production AI/NLP systems.
• Experience operating at architectural or technical leadership levels.
• Strong hands-on experience designing production AI systems integrating LLMs with structured knowledge.
• Deep understanding of trade-offs between symbolic reasoning, probabilistic inference, and generative pattern matching.
• Experience building systems combining NLP pipelines with structured data validation or knowledge graphs.
• Strong background in clinical NLP, entity recognition, and terminology mapping (SNOMED CT, ICD, UMLS).
• Experience designing document AI systems using OCR, layout-aware models, or multimodal architectures.
• Strong Python experience for NLP pipelines, LLM orchestration, and evaluation tooling.
• Experience with prompt engineering using structured outputs and schema-constrained generation.
• Experience designing evaluation and benchmarking frameworks for production LLM systems.
• Understanding of model versioning, regression testing, and iterative improvement cycles.
• Ability to collaborate with Knowledge Engineers to ensure graph representations are AI-usable.
• Experience working in regulated or high-assurance environments.
• Ability to balance experimentation with production discipline.
• Comfortable operating in a fast-moving startup environment.

Skills

• Python
• NLP pipelines
• LLM orchestration
• Knowledge graphs
• Clinical NLP
• Entity recognition
• Terminology mapping (SNOMED CT, ICD, UMLS)
• Document AI
• Prompt engineering
• Schema-constrained generation
• System design
• Technical leadership

Location

• London, UK

Work Type

• Hybrid

Experience Level

• 5+ years

Education Level

• Master's degree

Salary/Compensations

• Competitive

Benefits

• Company pension
• 25 days of paid annual leave (pro-rata)
• Flexible hybrid working environment
• Employee Assistance Programme (Health Assured)
• Modern, dog-friendly office near Chancery Lane
• Free drinks

About the Company

• Dyad is an early-stage startup focused on improving the delivery and efficiency of healthcare.
• The company builds platforms to model and manage information flow within healthcare organizations.
• Products are founded on a Semantic AI platform combining knowledge graphs and generative AI.
• The team consists of approximately twenty people operating in the UK and US markets.