Staff AI Engineer - Hybrid, Impactful AI Leadership

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

Benefits offered by this job

Hybrid work model

Career development opportunities

Share matching program

Flexible benefits

Belonging and inclusive culture

Job summary

Siemens is seeking a Staff AI Engineer in Lisbon to own AI functions end to end, from direction to evaluation and integration. You will set technical direction, define acceptance criteria, and ensure measurable, auditable AI outcomes across teams without direct reports.

The role emphasizes security, governance, and collaboration with capability teams and the AI platform, all within a hybrid work setup favorable to flexible schedules.

Qualifications

• 10+ years in software engineering with production ML/LLM features
• Experience designing end-to-end AI functions and eval plans
• Ability to communicate risk to executives and guide cross-team efforts

Responsibilities

• Specify use-case specs for AI functions with inputs, behavior, success criteria, and human decisions.
• Evaluate AI features using gold datasets, safety metrics, and drift monitoring.
• Accept at gates (build/buy, pilot, GA) based on evidence; escalate when needed.
• Architect data flows, model integration points, and human-in-the-loop positions.
• Define and test AI threat models and controls for prompt injection and data leakage.
• Lead engineering standards for AI usage, tooling, and code review.

Skills

Software engineering

LLM/ML production

AI evaluation

Integration architecture

AI security

Vulnerability management

Specification writing

Hands-on coding

Technical leadership

Communication

Tools

Python

Go

Java

Rust

Job description

Siemens is seeking a Staff AI Engineer in Lisbon to own AI functions end to end, from direction to evaluation and integration. You will set technical direction, define acceptance criteria, and ensure measurable, auditable AI outcomes across teams without direct reports.

The role emphasizes security, governance, and collaboration with capability teams and the AI platform, all within a hybrid work setup favorable to flexible schedules.