Intern Deployment Engineer - Data & AI

Description

The company is a process intelligence platform vendor that helps enterprises run AI-driven processes. Its the company Context Model combines process data, business knowledge and intelligence into a digital twin of the business that AI can work from.

The Services team delivers platform outcomes to customers, covering go-live, adoption, early value realisation and long-term success. As AI agents take on more of the build, the team concentrates on understanding customer problems, designing solutions and measuring value, while directing agentic systems and owning customer relationships.

The company has offices in Munich, Germany and New York City, USA, plus more than 20 others worldwide. Its ecosystem of partners helps customers connect AI agents, people, systems and processes.

Responsibilities

• Join customer sessions alongside experienced Deployment Engineers, discuss live projects, turn business goals into use cases and learn best practices from them.
• Gather and organise data from several sources, checking that it is accurate and consistent enough to analyse.
• Learn to direct AI deployment agents, such as Apollo, to build data models, process analyses, KPIs and dashboards by writing clear specifications.
• Run exploratory analysis in the company and other tools to find trends, process inefficiencies and root causes.
• Help draft the initial solution design and configure operational solutions on the platform.
• Check AI-generated outputs for accuracy and business relevance with senior team members.
• Help build and maintain KPIs that track project progress and show business impact.
• Document design decisions and configurations so they can be referenced later and handed over to customers.
• Work with AI agents as your main tools, focusing on checking and improving their output rather than writing all code yourself.
• Build skills in specification and context engineering so you can turn business needs into precise AI instructions.
• Adapt quickly as the work changes and as AI capabilities evolve.

Requirements

• Be enrolled in a technology management, business informatics, computer science, engineering, economics or comparable degree programme, with strong grades.
• Have a working knowledge of business intelligence and data analytics, and a basic understanding of enterprise business processes.
• Have programming and database experience, with knowledge of SQL, Python or a similar coding or query language.
• Be curious and familiar with AI-assisted development tools, and keen to learn prompt and context engineering.
• Enjoy working with customers and communicate and present well.
• Show initiative, work independently and approach problems creatively.
• Speak English and German fluently. Other languages are a plus.
• Be available full-time for at least 5 months.

Conditions

Full-time internship, available for at least 5 months.

Hybrid working model combining remote work with office time.

Equal opportunity: applicants are considered regardless of background.

Benefits

• Restricted Stock Units (RSUs) and merit-based refresh grants for full-time employees.
• Parental leave of 24 weeks fully paid for primary carers and 12 weeks for supporting carers, available from the first day of employment.
• Unlimited PTO where local law allows, plus generous PTO globally.
• 70-20-10 learning framework, mentoring programmes and access to a dedicated learning platform.
• Subsidised Wellhub memberships, mental health counselling and Wellness Weeks focused on work-life balance.
• Paid time off for annual Impact Days to volunteer for community and environmental causes, locally or virtually.
• Access to the Inclusion Think Tank and the annual Inclusion Days.
• Work on a mission-led team whose values include customer value, teamwork, ownership and sustainability.