18 melhores vagas de architect para 4300 porto (Contratando agora!)

Senior AI DevOps / LLMOps
TechBiz Global GmbH —Porto
- Período Integral
- Teletrabalho
- Graduação
Candidatura rápida
AI Principal
Metyis AG —Porto
- Período Integral
- Modelo Híbrido
- Graduação
Candidatura rápida
MEP Technical Coordinator
SYSTRA —Porto
- Mestrado
- Graduação
Android Software Developer
Capgemini Sogeti —Vila Nova de Gaia
- Modelo Híbrido
Performance Test Engineer
Five9 —Porto
Candidatura rápida
Senior Electrical Engineer
Capgemini Sogeti —Vila Nova de Gaia
- Modelo Híbrido
Digital Solution Lead
SBM Offshore —4100 Porto
- Mestrado
Senior Electrical Engineer
Capgemini —Vila Nova de Gaia
- Modelo Híbrido
(Senior) Data Engineer (all genders)
XIBIX Solutions —4000 Porto
Candidatura rápida
Android Software Developer
Capgemini —Vila Nova de Gaia
- Modelo Híbrido
Senior Data Engineer
SBM Offshore —4100 Porto
- Mestrado
- Graduação
Staff DevOps Engineer
Five9 —Porto
Candidatura rápida
Data Engineer
SOLVERDE —Espinho
- Modelo Híbrido
- Graduação
Há 9 dias
Senior Cloud Engineer
Vodafone —Porto
- Modelo Híbrido
Cloud Engineer (GPC)
Tietoevry —Porto
- Período Integral
- Modelo Híbrido
Senior Cloud Engineer
Movilges IT Consulting —Porto
- Modelo Híbrido
- Graduação
Candidatura rápida
Senior Cloud Engineer
Movilges —Porto
- Modelo Híbrido
- Graduação
Partner Technical Architect
Talkdesk —Porto
Candidatura rápida

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AI Principal
Metyis AG —Porto
A role at the intersection of cloud infrastructure, data engineering, and applied AI, with real architectural ownership.
Candidatura rápida
Data Science Principal (Fashion)
Metyis AG —Porto
Interact with our clients on regular basis, to drive their business towards impactful change. A chance to take responsibility for your work, develop yourself…
Candidatura rápida

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Senior AI DevOps / LLMOps

TechBiz Global GmbH
Porto

Candidatura rápida

Detalhes da oferta

Período Integral

Qualificações

Graduação

Descrição completa da oferta

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).

Candidatura rápida

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architect vagas para: 4300 porto

Senior AI DevOps / LLMOps

AI Principal

MEP Technical Coordinator

Android Software Developer

Performance Test Engineer

Senior Electrical Engineer

Digital Solution Lead

Senior Electrical Engineer

(Senior) Data Engineer (all genders)

Android Software Developer

Senior Data Engineer

Staff DevOps Engineer

Data Engineer

Senior Cloud Engineer

Cloud Engineer (GPC)

Senior Cloud Engineer

Senior Cloud Engineer

Partner Technical Architect

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