Allianz Global Investors
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Frankfurt am Main, München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
ALAllianz Global Investors
DevSecOps AI Engineer(m/w/x)
Frankfurt am Main
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Building AI4SDLC solutions and integrating AI with SDLC tools for asset management. Production-grade service delivery and Python/TypeScript/Java/C# experience required. Hybrid work, flexible hours, relocation support.
Anforderungen
- 3+ years professional software engineering experience
- Delivery of production-grade services and automation
- Platform/tooling context experience preferred
- Objective, verifiable evidence of recent hands-on experience
- Strong hands-on engineering experience in Python, TypeScript/JavaScript, Java, or C#
- API design and integration patterns (REST/events)
- Practical experience implementing AI/LLM-enabled solutions
- Production-ready AI/LLM solutions (testing, observability, rollout)
- Experience integrating with SDLC ecosystems
- Automating workflows within SDLC ecosystems
- Strong engineering mindset for security-by-design
- Compliance-by-default engineering mindset
- Translate governance requirements into technical controls
- Ability to create reusable building blocks
- Drive adoption through documentation and enablement
- Excellent communication and stakeholder collaboration skills
- Fluency in English (written and spoken)
- Experience with agentic AI patterns for developer productivity
- Integrating agentic AI safely into SDLC workflows
- Experience with platform engineering / IDP concepts
- Familiarity with Responsible AI governance expectations
- Implement guardrails and evidence automation for Responsible AI
- Cloud/security certifications
Aufgaben
- Design and build AI4SDLC solutions
- Integrate AI capabilities with SDLC tools
- Implement and operationalize SDLC AI Agents
- Build AI-assisted patterns for security remediation
- Create AI-enabled guardrails in pipelines
- Implement SDLC4AI building blocks
- Embed AI lifecycle, governance, and compliance
- Align with AllianzGI’s Responsible AI lifecycle
- Build secure, reusable services and components
- Implement secure LLM/agent integration patterns
- Engineer reliability and operational readiness
- Develop telemetry, monitoring, and incident handling
- Create runbooks and safe rollout strategies
- Partner with AI CoE for use-case delivery
- Contribute to adoption enablement
- Provide demos, guidance, and best practices
- Join the AI Engineering Community of Practice
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- TypeScript
- JavaScript
- Java
- C#
- REST
- Git
- CI/CD
- Azure AI Engineer
- Azure Security Engineer
- CCSK
- CKA
- CKS
- Terraform
Benefits
Flexibles Arbeiten
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Betriebliche Altersvorsorge
- Company pension/savings plans
Sonstige Vorteile
- Relocation support
Kinderbetreuung
- Childcare facilities
Attraktive Vergütung
- Company share purchasing plan
Mentale Gesundheitsförderung
- Mental health and wellbeing programs
Firmenfahrrad
- Jobrad bike leasing
Öffi Tickets
- Jobticket subsidy
Karriere- und Weiterentwicklung
- Career opportunities
Weiterbildungsangebote
- Self-guided learning & development
Gemeinnützige Ausrichtung
- Volunteering time
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Allianz Global Investors erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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ALAllianz Global Investors
DevSecOps AI Engineer(m/w/x)
Frankfurt am Main
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Building AI4SDLC solutions and integrating AI with SDLC tools for asset management. Production-grade service delivery and Python/TypeScript/Java/C# experience required. Hybrid work, flexible hours, relocation support.
Anforderungen
- 3+ years professional software engineering experience
- Delivery of production-grade services and automation
- Platform/tooling context experience preferred
- Objective, verifiable evidence of recent hands-on experience
- Strong hands-on engineering experience in Python, TypeScript/JavaScript, Java, or C#
- API design and integration patterns (REST/events)
- Practical experience implementing AI/LLM-enabled solutions
- Production-ready AI/LLM solutions (testing, observability, rollout)
- Experience integrating with SDLC ecosystems
- Automating workflows within SDLC ecosystems
- Strong engineering mindset for security-by-design
- Compliance-by-default engineering mindset
- Translate governance requirements into technical controls
- Ability to create reusable building blocks
- Drive adoption through documentation and enablement
- Excellent communication and stakeholder collaboration skills
- Fluency in English (written and spoken)
- Experience with agentic AI patterns for developer productivity
- Integrating agentic AI safely into SDLC workflows
- Experience with platform engineering / IDP concepts
- Familiarity with Responsible AI governance expectations
- Implement guardrails and evidence automation for Responsible AI
- Cloud/security certifications
Aufgaben
- Design and build AI4SDLC solutions
- Integrate AI capabilities with SDLC tools
- Implement and operationalize SDLC AI Agents
- Build AI-assisted patterns for security remediation
- Create AI-enabled guardrails in pipelines
- Implement SDLC4AI building blocks
- Embed AI lifecycle, governance, and compliance
- Align with AllianzGI’s Responsible AI lifecycle
- Build secure, reusable services and components
- Implement secure LLM/agent integration patterns
- Engineer reliability and operational readiness
- Develop telemetry, monitoring, and incident handling
- Create runbooks and safe rollout strategies
- Partner with AI CoE for use-case delivery
- Contribute to adoption enablement
- Provide demos, guidance, and best practices
- Join the AI Engineering Community of Practice
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- TypeScript
- JavaScript
- Java
- C#
- REST
- Git
- CI/CD
- Azure AI Engineer
- Azure Security Engineer
- CCSK
- CKA
- CKS
- Terraform
Benefits
Flexibles Arbeiten
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Betriebliche Altersvorsorge
- Company pension/savings plans
Sonstige Vorteile
- Relocation support
Kinderbetreuung
- Childcare facilities
Attraktive Vergütung
- Company share purchasing plan
Mentale Gesundheitsförderung
- Mental health and wellbeing programs
Firmenfahrrad
- Jobrad bike leasing
Öffi Tickets
- Jobticket subsidy
Karriere- und Weiterentwicklung
- Career opportunities
Weiterbildungsangebote
- Self-guided learning & development
Gemeinnützige Ausrichtung
- Volunteering time
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Allianz Global Investors erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Allianz Global Investors
Branche
FinancialServices
Beschreibung
Allianz Global Investors is a leading global active asset manager focused on long-term value creation and sustainability.
Noch nicht perfekt?
- Allianz Global Investors
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, München - Allianz Global Investors
AI Quality Assurance Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, München - Deutsche Bank
Fullstack AI Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenFrankfurt am Main - Capgemini
AI Platform Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin, Hamburg, München, Köln, Frankfurt am Main, Stuttgart, Dortmund, Hannover, Nürnberg, Karlsruhe - Devoteam
Azure AI Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main