Staff AI Engineer: Vulnerability & Security Ops

Siemens; Lisboa; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Share matching programs

Flexible benefits

Continuous learning opportunities

Job summary

Siemens in Lisbon is seeking a Staff AI Engineer to own AI functions end-to-end, setting direction, evaluation, and risk controls across multiple teams. You will drive evidence-based decisions on build vs.

buy, pilot and GA stages, and lead governance for audit-ready AI systems, including threat modeling and vendor collaboration. You’ll craft evaluation strategies, define data flows and human-in-the-loop points, and mentor engineers to improve AI capabilities while maintaining production-quality

Qualifications

• 10+ years in software engineering
• Experience shipping ML-based features in production
• Design and review service integrations, data flows, human-in-the-loop points
• Produce acceptance criteria and manage risk discussions in multi-team settings
• Proficiency in Python/Go/Java/Rust, and strong written/spoken English

Responsibilities

• Define use-case specs for AI functions with inputs, behavior, and success criteria
• Design evaluation plans including golden datasets, safety metrics, and drift monitoring
• Establish governance for build/buy decisions and evidence retention for audits
• Own AI threat model and implement controls for prompt injection, data leakage, and unsafe tool use

Skills

Leadership

English communication

Mentoring engineers

Evidence-based decisions

Threat modelling

Acceptance criteria writing

Tools

Python

Go

Java

Rust

Job description

Siemens in Lisbon is seeking a Staff AI Engineer to own AI functions end-to-end, setting direction, evaluation, and risk controls across multiple teams. You will drive evidence-based decisions on build vs.

buy, pilot and GA stages, and lead governance for audit-ready AI systems, including threat modeling and vendor collaboration. You’ll craft evaluation strategies, define data flows and human-in-the-loop points, and mentor engineers to improve AI capabilities while maintaining production-quality