Die KI-Suchmaschine für Jobs
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
Ausbildung
Sprachen
Tools & Technologien
Benefits
Startup-Atmosphäre
- •Technical decision authority
- •Ownership-driven culture
Sinnstiftende Arbeit
- •End-to-end responsibility
Sonstige Vorteile
- •Technical excellence culture
- Simon-KucherVollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
- Deloitte
Manager AI & Data Engineering(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - KI group GmbH
Senior Data Solution Architect(m/w/x)
Vollzeitmit HomeofficeSeniorKöln, München - Capgemini
Data & AI Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin, Nürnberg, Stuttgart, München, Köln, Erfurt, Hannover, Frankfurt am Main, Dortmund, Ratingen - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Cloud Engineering Manager / Architekt(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart
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
Ausbildung
Sprachen
Tools & Technologien
Benefits
Startup-Atmosphäre
- •Technical decision authority
- •Ownership-driven culture
Sinnstiftende Arbeit
- •End-to-end responsibility
Sonstige Vorteile
- •Technical excellence culture
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.
- Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Deloitte
Manager AI & Data Engineering(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - KI group GmbH
Senior Data Solution Architect(m/w/x)
Vollzeitmit HomeofficeSeniorKöln, München - Capgemini
Data & AI Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin, Nürnberg, Stuttgart, München, Köln, Erfurt, Hannover, Frankfurt am Main, Dortmund, Ratingen - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Cloud Engineering Manager / Architekt(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart