Customer Delivery Architect

Cisco

. Serve as the trusted technical advisor and lead architectural authority for Cisco’s most strategic customer engagements across Germany .

Posted 10/23/2026full-timeEschborn • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Agentic AI Systems and Cloud Native architectures, with a strong focus on AI-driven workflows and responsible AI adoption. Proven ability to lead architectural design and delivery engagements while mentoring technical teams and fostering industry partnerships.

Highest-signal resume keywords

Agentic AI Systems ExpertiseCloud Native ArchitectureCNCF Certification KubestronautSite Reliability Engineering ExperienceFluent German Language

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI SystemsAI/ML PipelinesData PlatformsResponsible AI FrameworksOpen-Source Project MaintenanceObservability SolutionsGitOps PracticesArchitectural DesignProject ManagementTechnical Mentorship

Soft Skills

Relationship BuildingTraining and MentoringInfluencing Delivery QualityCollaborationCommunication

Certifications & Qualifications

CNCF Certification Kubestronaut

Industry Keywords

KubeConAGNTConOpen-Source Community AmbassadorTechnical Industry ForumsOperational Environments

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Serve as the trusted technical advisor and lead architectural authority for Cisco’s most strategic customer engagements across Germany
Manage multiple high-priority projects simultaneously, setting priorities to ensure timely and successful delivery of solutions
Build relationships with technical stakeholders within the organization and have regional-level impact
Apply deep expertise in Agentic AI Systems and Cloud Native architectures
Apply AI-driven workflows to optimize operational and administrative efficiency
Provide guidance, training and mentoring to engineers and architects across organizations
Advance AI and Cloud Native literacy, responsible AI adoption, and strategic AI integration
Develop partnerships with engineers, Technical Leaders, internal SMEs and leaders to influence delivery quality
Contribute to and engage in industry events such as KubeCon and AGNTCon

Requirements

What you’ll need

Bachelor's degree + 5 years of related experience, or equivalent relevant work experience
CNCF Certification Kubestronaut or other equivalent Cloud Native experience
Practical experience with AI Systems (Training / Inference / Agents)
Proven track record leading multi-domain architectural design and delivery engagements incorporating AI/ML pipelines, data platforms, or responsible AI frameworks
Experience maintaining code in open-source projects, preferably CNCF
Open-source community ambassador or equivalent experience
Track record of contributing to technical industry forums and developing mentorship/training programs for junior technical teams
Site Reliability Engineering experience in production operational environments and working with observability solutions
Appreciation for security and GitOps based software delivery lifecycle practices
Fluent German language preferred

Benefits

Comp & perks

Hybrid work arrangement
Up to 25% regional travel
Continuous learning opportunities
Guidance, training and mentoring
Opportunities to engage in industry events such as KubeCon and AGNTCon
Opportunities to grow and build on a global scale