We are seeking a Senior Cybersecurity Architect with 10+ years of experience in securing AI/ML platforms and MLOps workflows in cloud environments. The ideal candidate will have hands-on experience with DevSecOps, Python scripting, and cloud platforms. This is a long-term contract position with a day rate of €600.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Senior Cybersecurity Architect – AI / MLOps Focus (B2B Contract)
Day Rate: €600/day
Duration: Long-term
Location: 100% Remote
EU Citizens Only
We are looking for a Senior Cybersecurity Architect with a strong cybersecurity foundation (10+ years) and hands-on experience securing AI/ML platforms and MLOps workflows in cloud environments.
This is not a pure enterprise security or governance role, and not an MLOps engineer position.
It is a cybersecurity-first role operating deeply within AI, data, and analytics delivery environments.
Role Overview
You will act as a hands-on cybersecurity architect supporting the secure design and delivery of cloud-based AI, BI, and data analytics platforms.
You will work closely with DevSecOps, data engineers, and ML teams to embed security controls directly into MLOps workflows.
Key Responsibilities
- Design and document security architectures and blueprints for cloud-based AI, ML, and data platforms
- Secure MLOps workflows (model training, deployment, CI/CD integration, access controls, monitoring)
- Embed security into DevSecOps and SDLC pipelines using Python-based automation
- Perform architecture and security reviews of AI/ML and data solutions
- Apply strong data security controls (encryption, tokenization, data masking, secure APIs)
- Ensure secure IAM integration across cloud, data, and AI platforms
- Advise stakeholders on risk, threat modeling, and secure-by-design practices
- Operate autonomously in large-scale, regulated environments (thousands of systems)
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Required Experience
- 10+ years in cybersecurity (architecture, AppSec, DevSecOps, platform security)
- Hands-on experience securing AI/ML platforms and MLOps workflows
- (practical delivery experience — not just governance or certifications)
- Strong DevSecOps experience (CI/CD security, SSDLC, automation)
- Python scripting for security automation and integration (mandatory)
- Solid experience with cloud platforms (Azure and/or AWS)
- Strong understanding of data security and analytics environments
- Experience working in complex or public-sector–like environments
- Ability to operate at senior architect level with strong communication skills
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Nice to Have
- Exposure to data analytics stacks
- Familiarity with AI/ML security risks and controls
- TOGAF / SABSA
- Experience producing audit evidence and security assurance artefacts
Contract Details
- Type: Long-term B2B contract
- Rate: €600 per day
- Location: 100% Remote
- Eligibility: EU citizens only
- Start: ASAP / flexible
- EU Citizens Only
Important Note
This role requires demonstrable, hands-on experience securing AI/ML and MLOps environments alongside a strong cybersecurity background.
Profiles limited to traditional enterprise security architecture or theoretical AI governance will not be a fit.
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