Distinguished AI Tech Lead, Frontier

Position: Distinguished AI Tech Lead, Frontier Applications
We are seeking a visionary and accomplished AI Tech Lead, Frontier Applications to join our team. This is a high-visibility, high-impact leadership role driving the technical truth (e.g., model choices, logic and intent) and readiness requirements for AI capabilities. This leader will partner across functions on our AI strategy and roadmap, shaping how we infuse AI into existing capabilities while balancing 0 to 1 amid ambiguity to inform future AI offerings.

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* Key Responsibilities:

** Partnering cross-functionally, drive the creation of technical AI requirements documents and end-to-end technical roadmap, prioritizing features, data constraints, model performance, and requirements based on customer use cases, scientific and technological advancements, and broader industrial sector analysis

Strong technical, analytical and problem-solving skills with a data-driven approach to decisions
** Essential Requirements:
** 12+ years of experience with at least 5 years in an AI technical leadership role for both emerging 0 to 1 and established AI capabilities Recent experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning, and AI governance best practices Exceptional technical background with deep intuition for AI in highly regulated industries and proven experience having recently shipped code or emerging AI capabilities to production

Expertise in Python and deep experience with deep learning frameworks (e.g., Jax, Tensor Flow, PyTorch) and state-of-the-art ML techniques (building, training, evaluating, deploying ML models) Exceptional leadership and communication skills, with the ability to influence cross-functional and matrixed teams, and present complex technical information clearly to both technical and non-technical audiences
** Desired skills and

Competencies:

** Experience in at least two regulated industries (e.g., life sciences, manufacturing, energy, infrastructure, asset-intensive industries, material science, etc.)  Experience analyzing technical, scientific and market data for emerging AI technologies Experience deploying ML models in cloud environments (AWS, GCP or Azure) in addition to work across on-prem, edge, and cloud-connected architectures Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working in both enterprise and start up environments  Ability to meaningfully drive and integrate (where appropriate) AI roadmaps and emerging technology direction
** UK Benefits include:*
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