AI Staff Deployment Engineer

Vacaturebank; Amsterdam; On-site; EUR 113,000 - 138,000; Full time

Benefits offered by this job

Equity possible

Flexible time-off

Parental leave

Autonomy & ownership

International travel

Job summary

Vacaturebank in Amsterdam is seeking a Staff AI Deployment Engineer to join an international team. You will split time between hands-on AI engineering and direct customer delivery, taking ownership of customer implementations and delivering value.

You will work with Python, REST APIs, and cloud technologies, collaborating across product, data science and platform teams, including US partners. The role offers high autonomy and travel to customer sites.

Qualifications

• Proven hands-on Python development in AI/ML projects.
• Experience delivering AI solutions to customers or enterprise clients.
• Strong understanding of REST APIs, data stores and cloud tech.

Responsibilities

• Lead end-to-end customer implementations from discovery to deployment.
• Build and deploy AI workflows and automation solutions.
• Develop integrations using Python, REST APIs, databases and cloud tech.
• Collaborate with product, data science and cloud teams across geos.
• Act as primary technical contact for customers and guide junior engineers.
• Participate in on-call rotations and production support.

Skills

Python programming

REST APIs

AI engineering

Customer delivery

Cloud architectures

Tools

Databricks

AWS

Azure

Docker

Kubernetes

Job description

We're partnering with a fast-growing, international technology company developing an AI-powered platform that helps enterprises and governments navigate complex global supply chains and international trade.

As part of their international expansion, they're looking for aStaff AI Deployment Engineerto join their team in Amsterdam.

In this role, you'll combine hands-on AI engineering with customer-facing technical delivery, spending approximately 50% of your time working directly with customers and 50% building, integrating and deploying technical solutions.

You'll be part of an international engineering and implementation team, working closely with product, data science, cloud and platform engineers, including daily collaboration with US-based colleagues.

This is a highly autonomous role where you'll take ownership of customer implementations, solve complex technical challenges and ensure AI solutions deliver real business value.

Responsibilities

• Lead end-to-end customer implementations, from technical discovery and integration to deployment and adoption.
• Design, build and deploy agentic AI workflows and automation solutions.
• Develop integrations using Python, REST APIs, databases and cloud-based technologies.
• Leverage AI-assisted coding tools such as Claude Code, Codex or Cursor to accelerate development.
• Troubleshoot technical issues, debug code and support production environments.
• Act as the main technical point of contact for customers, translating business requirements into practical solutions.
• Drive customer adoption, answer technical questions and ensure successful implementation.
• Collaborate with engineering, product and cloud/platform teams to resolve technical challenges.
• Independently identify priorities, take ownership of customer projects and guide more junior engineers.
• Contribute to global engineering operations, including on-call support.

Who Are We Looking For?

• Several years of relevant experience in AI Engineering, Solutions Engineering, Forward Deployed Engineering or technical implementation, ideally including 5+ years of customer-facing technical delivery.
• Strong hands-on Python programming skills.
• Solid understanding of data structures, SQL, databases and/or platforms such as Databricks.
• Practical experience building or deploying AI solutions, preferably involving LLMs or agentic AI.
• Comfortable working with AI-assisted coding tools such as Claude Code, Codex or similar.
• Experience with REST APIs, integrations and cloud architecture.
• Ability to independently troubleshoot, debug and solve technical problems.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and vice versa.
• A customer-oriented mindset and genuine interest in combining engineering with customer interaction.
• Highly autonomous, proactive and comfortable taking ownership without constant direction.
• Comfortable working with international teams, particularly US-based colleagues.
• Willingness to travel to customer locations and participate in an on-call rotation.

Nice to Have's

• Background in Solutions Engineering, Forward Deployed Engineering or Applied AI.
• Experience with Databricks, Spark or large-scale data processing.
• Familiarity with agentic AI frameworks such as LangChain, MCP or RAG.
• Experience with AWS, Azure, Docker or Kubernetes.
• Experience implementing enterprise software solutions.
• Knowledge of global trade, supply chains or logistics.
• Experience mentoring or guiding other engineers.

Benefits & Package

• Competitive compensation package - up to EUR125K;
• Potential equity participation and bonus or variable compensation.
• Flexible time-off policy.
• Paid parental leave.
• Opportunity to work with cutting-edge AI technology and international enterprise customers.
• High degree of autonomy, ownership and technical influence.
• Opportunity to play a key role in a growing international team.

Location & Travel:Based in Amsterdam, with international collaboration and customer-site travel - you would need to sync with different time zones (US and Asia).Travel may reach approximately 50% during the initial months, with a lower frequency expected thereafter.