This is a hands-on role with management responsibility, expect 50%-time spending on coding.

You will:

• Lead the design, development, and deployment of sophisticated agentic AI applications tailored to life sciences/health tech challenges.
• Develop automated techniques for designing and evaluating agentic systems
• Ideate, develop, and evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents).
• Design specialized agent/LLM observability pipelines for prototypes and production systems.
• Develop bespoke deep learning models, from model design, training, testing all the way to deployment.
• Using causal machine learning for decision making.
• Hire, mentor and develop an AI team, fostering a culture of innovation and continuous learning, led by example with best ML and software engineering practice.
• Lead a portfolio of high-impact AI projects.
• Drive technical and project-level architecture decisions, guiding multi-functional teams through stages of the AI lifecycle.
• Deliver production ready code.
• Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation
• Represent the company's AI expertise at conferences, publications, and industry events.

Required Skills/Experience

• Ph.D. or equivalent experience in a relevant field (such as mathematics, computer science, data science, etc).
• 10+ years of proven experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI
• Proven track record of developing creative and novel AI solutions that have driven significant business impact.
• Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models.
• Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc).
• Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.
• Previous experience of training (fine turn) large language models, hands on experience with DeepSpeed  
• Extensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, OpenSearch).
• Proven record of shipping production level code with best software engineering practice
• Experience with containerization technologies, CI/CD, front and backend of web applications
• Excellent verbal and written communication skills with experience presenting to executive leadership and partners.
• Demonstrated ability to lead and inspire multi-functional teams.
• Experience with TypeScript
• Experience with AWS CDK
• Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.
• Experience designing and implementing novel AI architectures or algorithms in real-world products.

Desirable Skills/Experience

• Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.).
• Contributions to open-source AI projects or development of proprietary AI frameworks.
• Expertise in areas such as reinforcement learning, few-shot learning, meta-learning, Causal AI.
• Experience of Biostatistics

Knowledge of drug development and previously experience of working in pharmaceutical industrial is nice to have but not required.