Platform Architect & MLOps Engineer

ThoughtLabs Belgium; Brussel Hoofdstad; On-site; EUR 90,000 - 130,000; Full time

Job summary

ThoughtLabs Belgium is seeking an Architect to design secure, interoperable solutions that scale across multi-cloud environments. You will build vendor-agnostic data platforms for AI/ML workloads and design robust MLOps pipelines from development through serving.

You will shape security architectures, manage risk, and drive continuous performance improvements using advanced analytics while collaborating with AI developers and IT operations.

Qualifications

• Experience in designing secure, scalable architectures.
• Strong knowledge of cloud and on-premises integration patterns.
• Proven track record with containerised deployments and CI/CD pipelines.
• Familiarity with data platforms for AI/ML workloads.

Responsibilities

• Architect secure, interoperable solutions using standard frameworks.
• Develop vendor-agnostic data platforms for AI/ML workloads.
• Design MLOps pipelines from development to serving.
• Create security architectures aligning with risk & data protection standards.
• Assess and optimise system performance and scalability with predictive analytics.
• Collaborate with AI developers, analysts, and IT operations to align architecture with business goals.
• Establish CI/CD pipelines using infrastructure-as-code and configuration management.
• Ensure seamless integration and cross-platform compatibility via API design and benchmarking.

Skills

Problem-solving

Analytical skills

Team collaboration

Communication skills

Attention to detail

International/multi-cultural

Coding proficiency

Architectural thinking

Strategic thinking

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitHub Copilot

Git

GitLab CI

ArgoCD

Prometheus

Grafana

Kafka

RabbitMQ

OpenSearch

PostgreSQL

Oracle

MongoDB

Redis

Terraform CloudFormation

Job description

ThoughtLabs Belgium is seeking an Architect to design secure, interoperable solutions that scale across multi-cloud environments. You will build vendor-agnostic data platforms for AI/ML workloads and design robust MLOps pipelines from development through serving.

You will shape security architectures, manage risk, and drive continuous performance improvements using advanced analytics while collaborating with AI developers and IT operations.