6 beste Stellen als security architect in stuttgart, bw – aktuell auf Personalsuche

Senior AI DevOps / LLMOps
TechBiz Global GmbH —Stuttgart
- Vollzeit
- Homeoffice
- Azure
- DevOps
- Master
Direkt bewerben
(Senior) SAP Platform Architect*in (m/w/d)
Alfred Kärcher SE & Co. KG —Winnenden
- Vollzeit
- Informatik
- Englisch
- Kostenbeteiligung am Arbeitsweg
- Gleitzeit
Senior Solution & AI Delivery Architect – Energy Platform Services (m/f/d) - IE2S GmbH
MHP - A Porsche Company —Ludwigsburg
- Hybrides Arbeiten
- Azure
- Englisch
- AWS
- Flexible Arbeitszeiten
19 Std.
DHBW Duales Studium - Security Engineer (m/w/d)
Schönbrunn TASC GmbH —Leonberg
- Vollzeit
- Hochschulreife
- Weiterbildungsprogramme
Direkt bewerben
Senior Cloud / DevOps Engineer (AWS) (m/w/d)
Rockstardevelopers GmbH —Stuttgart
- Homeoffice
- Azure
- AWS
- Scripting
- Homeoffice-Möglichkeit
Direkt bewerben
14 Tage
Senior AI Architect (all genders) - BCG Platinion
Boston Consulting Group —Stuttgart
- Informatik
- Master
- Projektmanagement
7 Std.

More jobs to discover

Find similar jobs that you might be interested in.

(Senior) SAP Platform Architect*in (m/w/d)
Alfred Kärcher SE & Co. KG —Winnenden
Ein abgeschlossenes Studium (z.B. Informatik/Wirtschaftsinformatik ) oder eine vergleichbare Qualifikation und Ausbildung mit einschlägiger Berufserfahrung.

Ich möchte aktuelle Job-E-Mails für Stellen als security architect in stuttgart, bw erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

security architect jobs near stuttgart, bw

Senior AI DevOps / LLMOps

TechBiz Global GmbH
Stuttgart

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
Kubernetes
Ansible
DevOps
Master
AWS
Bachelor
Virtualisierung
Terraform
GitHub
A/B-Test
Künstliche Intelligenz
GitLab

Vollständige Stellenbeschreibung

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

Automation of Build-to-Production
Design and implement robust CI/CD pipelines tailored for AI, covering model weights,

dataset versioning, and application code.

Develop specialized workflows for PromptOps, ensuring that system prompts are

version-controlled, tested for regressions, and deployed with the same rigor as traditional

code.

Automate the deployment of Agentic workflows, managing the complexities of stateful

AI interactions and multi-agent handoffs.

2. AI Infrastructure as Code (IaC)

Provision and manage high-performance compute environments (GPU clusters, TPU

pods) using Terraform, Pulumi, or Ansible.

Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security,

cost-usage limits, and data residency requirements.

Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless

parity between On-Premises development and Cloud production.

3. Safe Experimentation & Controlled Releases

Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green

deployments, and Shadowing (where new models run in parallel with production to

compare outputs).

Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias,

hallucination, and performance degradation before a release.

Implement A/B testing frameworks specifically designed for LLM outputs and agentic

behavior.

4. Monitoring & Observability

- Establish deep observability into Inference Endpoints, tracking metrics like tokens-per-

second, latency, and drift in model accuracy.

Integrate feedback loops that capture production “edge cases” to feed back into the

training and fine-tuning pipelines.

Must-Have Technical Skills:

Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or

NVIDIA Triton.

CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi.
AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize

Phoenix.

Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises

hardware management.

Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault).

Experience:

10+ years in DevOps, SRE, or Cloud Engineering.
2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs

from notebook to production.

Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private

Data Center).

Direkt bewerben

Erweiterte Suche

security architect Jobs in stuttgart, bw

Senior AI DevOps / LLMOps

(Senior) SAP Platform Architect*in (m/w/d)

Senior Solution & AI Delivery Architect – Energy Platform Services (m/f/d) - IE2S GmbH

DHBW Duales Studium - Security Engineer (m/w/d)

Senior Cloud / DevOps Engineer (AWS) (m/w/d)

Senior AI Architect (all genders) - BCG Platinion

More jobs to discover

Ich möchte aktuelle Job-E-Mails für Stellen als security architect in stuttgart, bw erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt