Dein persönlicher KI-Karriere-Agent
Engineering Manager – Data & AI(m/w/x)
Architectural design of human-in-the-loop AI systems and cloud-native data platforms for enterprise clients. Senior-level expertise in system thinking and end-to-end cloud data architectures required. Full technical decision authority and end-to-end system ownership.
Anforderungen
- Senior engineering profile with system thinking
- Experience in Data, Cloud, or AI
- Outcome-oriented mindset and responsibility
- Background in cloud-native data architectures
- Ability to design end-to-end systems
- Confidence in communicating technical trade-offs
- Ability to lead senior engineers
- Excellent communication and facilitation skills
- Comfort representing and defending technical decisions
- Fluency in English and German
- Willingness to travel up to 30%
Aufgaben
- Design and own complex Data and AI systems
- Define architectural guardrails and technical standards
- Manage failure modes and fallback strategies
- Implement human-in-the-loop concepts for AI systems
- Ensure coherent and operable end-to-end systems
- Own technical feasibility and implementation quality
- Deliver measurable business impact for clients
- Make engineering decisions under organizational uncertainty
- Ensure stable operations and sustained customer value
- Contribute to system design and agent protocols
- Prioritize the engineering backlog with senior engineers
- Translate business goals into technical user stories
- Steer implementation based on risk and impact
- Maintain hands-on involvement in technical projects
- Lead and mentor senior engineering teams
- Foster a culture of technical excellence
- Shape career paths and performance development
- Recruit and grow top-tier engineering talent
- Model technical responsibility and clear decision-making
- Improve existing frameworks and architectural templates
- Drive reusable system and architecture patterns
- Scale and productize Data and AI offerings
- Manage go-live readiness and stabilization phases
- Transition systems into sustainable operations
- Align with architects on security and monitoring
- Determine production readiness based on quality criteria
- Act as technical owner for customer accounts
- Shape solution concepts for pre-sales activities
- Estimate effort and evaluate technical risks
- Build long-term client relationships and manage expectations
- Represent the company as a technical authority
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Microsoft Azure
- Databricks
Benefits
Startup-Atmosphäre
- Technical decision authority
- Ownership-driven culture
Sinnstiftende Arbeit
- End-to-end responsibility
Sonstige Vorteile
- Technical excellence culture
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Engineering Manager – Data & AI(m/w/x)
Architectural design of human-in-the-loop AI systems and cloud-native data platforms for enterprise clients. Senior-level expertise in system thinking and end-to-end cloud data architectures required. Full technical decision authority and end-to-end system ownership.
Anforderungen
- Senior engineering profile with system thinking
- Experience in Data, Cloud, or AI
- Outcome-oriented mindset and responsibility
- Background in cloud-native data architectures
- Ability to design end-to-end systems
- Confidence in communicating technical trade-offs
- Ability to lead senior engineers
- Excellent communication and facilitation skills
- Comfort representing and defending technical decisions
- Fluency in English and German
- Willingness to travel up to 30%
Aufgaben
- Design and own complex Data and AI systems
- Define architectural guardrails and technical standards
- Manage failure modes and fallback strategies
- Implement human-in-the-loop concepts for AI systems
- Ensure coherent and operable end-to-end systems
- Own technical feasibility and implementation quality
- Deliver measurable business impact for clients
- Make engineering decisions under organizational uncertainty
- Ensure stable operations and sustained customer value
- Contribute to system design and agent protocols
- Prioritize the engineering backlog with senior engineers
- Translate business goals into technical user stories
- Steer implementation based on risk and impact
- Maintain hands-on involvement in technical projects
- Lead and mentor senior engineering teams
- Foster a culture of technical excellence
- Shape career paths and performance development
- Recruit and grow top-tier engineering talent
- Model technical responsibility and clear decision-making
- Improve existing frameworks and architectural templates
- Drive reusable system and architecture patterns
- Scale and productize Data and AI offerings
- Manage go-live readiness and stabilization phases
- Transition systems into sustainable operations
- Align with architects on security and monitoring
- Determine production readiness based on quality criteria
- Act as technical owner for customer accounts
- Shape solution concepts for pre-sales activities
- Estimate effort and evaluate technical risks
- Build long-term client relationships and manage expectations
- Represent the company as a technical authority
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Microsoft Azure
- Databricks
Benefits
Startup-Atmosphäre
- Technical decision authority
- Ownership-driven culture
Sinnstiftende Arbeit
- End-to-end responsibility
Sonstige Vorteile
- Technical excellence culture
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
KI group GmbH
Branche
IT
Beschreibung
Das Unternehmen transformiert die Art und Weise, wie Unternehmen mit Daten arbeiten, und schafft messbaren Mehrwert durch KI-gestützte Lösungen.
Noch nicht perfekt?
- KI group GmbH
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