Distinguished AI Tech Lead, Frontier Applications

Position: Distinguished AITechLead Frontier Applications

Locations:United Kingdom Ireland Spain Germany France Sweden Italy

Employment Type:Full-time

The Job

We areseekinga visionaryand accomplishedAI Tech Lead Frontier Applications to join ourteam.This is a high-visibility high-impact leadershiproledriving the technical truth(e.g. model choiceslogicand intent)and readiness requirements for AI capabilities. This leader will partneracrossfunctions on ourAI strategy and roadmapshaping how we infuse AI into existing capabilitieswhile balancing 0 to 1 amid ambiguity to inform future AI offerings.

We are specifically keen on individuals withdeepunderstanding of emergingAIandMLtechnologiesand can bridge between advanced AI ML engineering and AI business.

Key Responsibilities:

• Shapeand evangelize thetechnicaltruth(e.g. model choiceslogicand intent)forAIcapabilitiesfrom early concepts through launchaligning with overalltechnology strategy andAIbusinessgoals market trendsandcustomer needs

• Deeply understand AI and ML advances navigateambiguityand make thoughtful trade-offs in both 0 to 1 and ongoing lifecycle management environments toidentifyopportunities where AI can help address value-driven and real-world use case for industrial customers

• Source emerging AI technologies for Industrial AI applications

• Proactivelyidentifyand help mitigate technical risks and ensure quality safety and reliability best practices

• Partnering cross-functionallydrive thecreation oftechnicalAI requirements documents andend-to-endtechnicalroadmap prioritizing featuresdataconstraints model performanceand requirements based on customer use cases scientific and technological advancements and broader industrial sector analysis

• Definemonitorand report onkeyvalue-drivenAIcapabilitymetricsanddeterminenecessarydata-driven insights to evaluate performanceand inform future decisions

• Strong technical analytical and problem-solving skills with a data-driven approach to decisions

• Ensure AIcapabilitiesare industrial sector relevant and adhere to safety securitygovernanceand regulatory standards

• Provide leadershipand mentorship tojunior team members; foster a culture of innovation and continuous improvement

Essential Requirements:

• 12 years of experience with at least5years inan AI technicalleadership roleforbothemerging0 to 1 andestablished AI capabilities

• Recent experience with modern AI paradigmssuch 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

• Exceptionaltechnical background with deep intuition for AI inhighly regulatedindustries andproven experience havingrecently shipped code or emerging AI capabilities to production

• Excellent judgment in prioritizing between emerging AI technologies and existing ones for right-sized and industrial sector relevant features architecturalimprovementsand revenue entitlement

• Expertisein Python anddeepexperience withdeep learningframeworks (e.g.JaxTensorFlowPyTorch)andstate-of-the-artML 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

• Mastersdegreein Computer SciencePhysicsEngineeringora related technical field; Ph. D degree preferred

Desired skills andCompetencies:

• Experience in at least two regulated industries (e.g. life sciences manufacturing energy infrastructure asset-intensive industriesmaterialscienceetc.)

• Experience analyzing technical scientificand market data for emerging AI technologies

• Experience deploying ML models in cloud environments(AWS GCP or Azure)in addition to workacross on-prem edge and cloud-connected architectures

• Familiarity withMLOpspractices (model versioning evaluation monitoring iteration)

• Experience working in both enterprise and start up environments

WhatSuccessLooksLike:

• Ability to meaningfully drive and integrate (whereappropriate)AI roadmaps andemergingtechnology direction

• StrongAI capabilitiesintuition making thoughtful prioritization and sequencing decisions

• AIcapabilitiesarescalable andsuccessfully applied to real industrial problems not just conceptual designs

• Adoption of AI capabilities by customers and external partnerswith measurable ROI

• BalanceboldindustrialAI innovation with responsible secure deployment practices

• Strong collaboration withcross-functionaland matrixedtechnicaland non-technicalteams