GenAI Consulting Intern (all genders)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

GenAI Consulting Intern (all genders) Munich, BY, Germany Unternehmensbeschreibung: We are the world's leading strategy consultancy with European roots. Together with our clients, we develop and implement innovative solutions for leading international industrial and service companies as well as public institutions. We are currently expanding our capabilities through the Roland Berger AI Lab - focused on developing scalable Generative AI applications that unlock tangible business value for both our clients and ourselves. Stellenbeschreibung: As a GenAI Consulting Intern, you will be embedded in cross-functional teams alongside AI Engineers, Data Scientists and Consultants. You will contribute from day one to both client-facing projects and internal AI initiatives. You will design and implement scalable GenAI solutions that address complex business challenges while ensuring seamless integration into the existing processes and organizational structures. You will work with cutting-edge LLMs and agentic frameworks, maintaining thorough documentation. Leveraging programming languages such as Python, platforms including Databricks, and agentic frameworks like LangGraph and Google ADK, you will design and implement multimodal agentic systems to streamline and automate workflow processes. You will also establish the necessary tooling and infrastructure for deploying AI models on platforms such as Azure, AWS, or GCP. In addition, you will support data integration efforts by utilizing knowledge graphs and play a key role in developing customized Small Language Models (SLMs) for specific business needs through fine-tuning. Beyond the technical build, you will support the business side of C-level strategy consulting, focusing on topics centered around Generative AI. This work is driven by

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