Client-Facing AI Engineer, Forward Deployed

Portera; Amsterdam; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Mentorship from CEO

Learning & development support

NS Business Card

Job summary

Portera is seeking an experienced Forward Deployed AI Engineer to work on client projects in Amsterdam on-site. You will lead a team of engineers, deliver AI-powered data and workflow solutions, and stay hands-on with code across Azure and Databricks. Strong business acumen and communication with stakeholders are required.

You will design and deploy AI systems, assess options with clients, and drive projects from prototype to production, while ensuring governance and measurable outcomes.

Qualifications

• Minimum 10 years of software engineering experience including production systems.
• Strong Python and SQL with API development and testing practices.
• Hands-on Azure and Databricks experience with data/AI workloads.

Responsibilities

• Turn open-ended requests into concrete proposals with clear scope and outcomes.
• Build and deploy data and AI systems on Azure and Databricks from prototype to production.
• Apply AI tools within guardrails and manage AI credits for delivery.
• Lead a team of engineers, define direction, review code, and mentor juniors.
• Own delivery, prepare estimates, manage budgets and client communication.
• Manage Azure resources, access, deployments and cost monitoring.
• Ensure production quality with testing, security and governance.
• Develop lasting client relationships and shape follow-on proposals.
• Contribute to Portera’s product landscape through governance and reusable components.

Skills

10+ years

Python

SQL

API development

CI/CD

Azure

Databricks

Spark/PySpark

RAG/LLMs

Leadership

Tools

Azure

Databricks

Spark

MLflow

Delta Lake

Unity Catalog

Job description

Portera is seeking an experienced Forward Deployed AI Engineer to work on client projects in Amsterdam on-site. You will lead a team of engineers, deliver AI-powered data and workflow solutions, and stay hands-on with code across Azure and Databricks. Strong business acumen and communication with stakeholders are required.

You will design and deploy AI systems, assess options with clients, and drive projects from prototype to production, while ensuring governance and measurable outcomes.