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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and ML system architecture, guiding teams through the transition from prototypes to scalable production systems while maintaining high engineering standards. Strong leadership and communication skills facilitate collaboration across technical and business teams to drive high-value AI initiatives.
Highest-signal resume keywords
AI/ML System ArchitectureTeam LeadershipProduction System DevelopmentHigh Engineering StandardsTechnical Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData EngineeringAI System DevelopmentArchitectural JudgementTesting StandardsObservabilitySecurity PracticesRelease QualityQuantitative AnalysisPrototype Development
Soft Skills
Communication SkillsPeople ManagementTechnical CredibilityDecision MakingPragmatic Problem Solving
Industry Keywords
DataGuardAI TechnologyProduction EnvironmentEngineering StandardsBusiness ValueTechnical Trade-offsData OperationsFunctional Team LeadershipCustomer ValueControlled Releases
About the role
Key responsibilities & impact- Own the target architecture for DataGuard’s AI technology
- Guide the transition from early-stage solutions to reliable, scalable production systems
- Lead and develop the three-person AI functional team
- Set clear technical direction, priorities and meaningful development paths
- Understand the DataGuard product ecosystem and identify where AI can create customer and business value
- Define engineering standards for validation, reliability, observability, testing, security, documentation and controlled releases
- Partner with Engineering, Product, Data Operations and selected business teams on high-value AI initiatives
- Balance architectural depth with pragmatic delivery and make thoughtful technical trade-offs
Requirements
What you’ll need- Excellent academic background in computer science, machine learning, mathematics or a related quantitative field
- Strong experience taking AI/ML systems from prototype to reliable, scalable production
- Excellent architectural judgement and ability to make clear, pragmatic technical trade-offs
- Experience leading a specialist team while remaining technically credible and hands-on
- High engineering standards across testing, observability, security and release quality
- Strong communication skills to turn complex AI topics into clear decisions across technical and business teams
- Direct people management experience within an Engineering, Data, AI or ML team
- Experience designing, building or significantly evolving an AI, ML or data-intensive platform in a production environment
Benefits
Comp & perks- Proper tools and capacities to build and lead an ambitious, international team with diverse skill sets
- Freedom and trust to execute ideas with a quick pace and autonomy
- Ability to make impactful decisions
- Strategic insights into management topics
- Opportunity to work closely alongside leadership and executive peers
- Rapid development opportunities
- Attractive performance bonuses
- Opportunity to strengthen leadership skills and business expertise
- Stable, forward-looking role within a dynamic scale-up