Distinguished AI Tech Lead, Initiatives

Position: Distinguished AI Tech Lead Initiatives

Location:United Kingdom Ireland Spain Germany France Sweden Italy

Employment Type:Full-time

The Job

We are hiring an experiencedAITechLeadto join ourteamto architect and lead large-scale technicalAIinitiativesand drive the implementation of AI technologies to solve real-world industrial is a high-visibility hands-onseniorrole responsible foridentifying documenting developing and translating across AI technical architectures(models data pipelinesRAGMLOps)and AI business architectures (use cases personas userjourneyand requirements etc.).

We are specifically keen on individuals withdeepunderstanding of emerging AI and ML technologieswho have served asanAI TPMleader.

Key Responsibilities:

• Drive forensic technical work to proactivelyidentifyand help mitigate technical risks AI infrastructure bottlenecks and scaling challenges across emerging AI/ML concepts; ensure consistency and efficiency

• Drive multi-threaded technical AI initiatives and translate emerging AI technology signals ( model architectures advanced agenticcapabilities)into technical and operational workflows tosupport the building out of an actionableclearand integratedAI roadmap

• Architect and driveAItechnical programsorchestrating complex technical decisions across multiple functions and translate high-level business strategies into clear actionable architectures deployments and technical program management standards

• Partner cross-functionally toensure technical feasibility and translateAI use casesuser journeys and profiles intoAI technicalroadmapsand managedependencies

• Supportestablishingand managing a unified consistentand visible cadence forAIsolutionreviews decision making prioritizationalignmentand resource management

• Track progressmaintainup to date information and relevant technical documentationand dashboardswhile pioneeringinnovative AI technical program management approaches that become best practices

• Producetechnicalartifacts includingguidesandprocess documentationtemplatesand otherrepeatableresourcesand frameworks

• Ensure AI initiativescomply withprivacy security and responsible AI standards and regulations

• Build effective working relationshipsin a matrixed environmentcollaborating across functions to guidealignment onAI portfolio-levelgoals managing interdependencies and ensuring clear communication and risk management

Essential Requirements:

• 12 years of experience in AI technicalprogrammanagement withsignificant experience(5years)managingcomplex AI/MLinitiatives as an AI technical lead orAI engineerlead

• Strong at abstraction and turningseemingly bespoke/one-offAI strategies into reusable patternstemplatesand reference implementations

• Exceptional technical background with deep intuition for applied AI inhighly regulatedindustries and proven experience having recentlyledlarge-scaleAI programs

• 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 highly regulated domains including industrial IoT life sciences manufacturing energy or asset-intensive domains

• Exceptional leadership and communication skills with the ability to influence cross-functional and matrixed teamseffectively communicate progress/statusand 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 responsible deployment practices model drift mitigation privacy-preserving federating learning and AI governance best practices

• Builders mindset with high curiosity and comfortable navigatingbothdeeply technical emerging AI conceptsand nuanced business considerations

• Bias for action and willingness to work iteratively with proventrack recordof delivering ambitious goals for complex large-scale AIinitiatives

• Proficient in SQL and Python for data analysis including querying database processing large data sets and generating actionable insights; proficient in SQL for creating analytics dashboards

What Success Looks Like:

• Ability to take large complex AIinitiativesand break them down into manageableprojectsto deliver in a successfultimelymanner

• Demonstrated ability to drive consensus across cross-functional teams (data science engineering product sales) in a matrixedenvironment

• Thoughtful prioritization and sequencing decisionsbalancingbusiness needs vs. technical constraints

• Codified learnings insights and architectural patterns into references guides playbooks or building blocks that are digestible and actionable

• Lightweight repeatable processes and enablement vs. overly complex approaches

• Strong collaboration withcross-functional and matrixedtechnicaland non-technicalteams