AI Specialist (all genders)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

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Childcare support

Not verified

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

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

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

AI Specialist (all genders) Munich, BY, Germany Company Description: Job Description: As an AI Specialist, you will join our newly launched Roland Berger AI Lab , where we design innovative and scalable GenAI solutions to create tangible impact for our clients and ourselves. Our mission is to rapidly and securely scale our expertise across clients and within Roland Berger. In this role, you will design and implement advanced AI solutions for both client and internal applications while collaborating with the AI team to tackle real-world business challenges. Your expertise will be crucial as you write clean, maintainable code to ensure scalable AI and machine learning solutions. Utilizing tools like Python, Databricks, SQL, Docker, and LangGraph, you will develop multimodal agents and automate workflows. You will also establish the necessary tooling and infrastructure for deploying AI models on platforms such as Azure, AWS, or GCP. Thorough documentation of processes is essential, as you will present your findings to stakeholders and clients, ensuring clear communication and understanding. Staying updated on the latest advancements in data science and generative AI will empower you to drive innovation within the organization. If you're ready to make a significant impact in the AI landscape, we are looking forward to hearing from you! Qualifications: University degree with excellent academic achievements in a quantitative or technical field Minimum 2-3 years of relevant professional experience Experience or touchpoints in consulting (e.g., project work, client interaction, or consulting methodologies) Experience with generative AI models/frameworks and MLOps tools Understanding of modern

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