Director of AI Engineering

Job Overview

As a Director of Generative AI Engineering, you will lead the design, implementation, and integration of cutting-edge generative AI technologies into business processes. You will develop scalable Gen AI strategies, evaluate and optimize AI models, and ensure seamless integration with existing IT systems. Collaborating with cross-functional teams, you will drive innovation, establish architectural standards, and select the best tools and platforms to support the company's AI-driven transformation. This is a unique opportunity to shape the future of AI adoption and its impact on business operations.

Reports to

Head of AI Center of Excellence

What will you do?

• Develop architectural solutions and lead the implementation of generative AI technologies (GPT, DALL-E, and other models) in company business processes.
• Create a Gen AI adoption strategy considering scalability, security, and company requirements.
• Analyze and evaluate available Gen AI models, conducting research to improve architectural solutions.
• Ensure integration of Gen AI models with existing IT systems.
• Collaborate with cross-functional teams to create innovative solutions.
• Participate in selecting tools, technologies, and platforms for developing and deploying Gen AI solutions.
• Create and maintain documentation on architectural solutions and standards.

What are we looking for?

• Proven experience in solution architecture with AI and ML technologies, including work with generative models (GPT, DALL-E, Stable Diffusion, etc.).
• Deep knowledge of machine learning algorithms and neural networks, including transformers and deep learning models.
• Practical experience with Python, TensorFlow, PyTorch, and other ML development tools.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices for deploying and managing AI solutions.
• Familiarity with architectural patterns and best practices for implementing and scaling AI solutions in large companies.
• Experience with databases, APIs, and integrating ML models into enterprise systems.
• Excellent communication skills and teamwork abilities.
• English language proficiency at B2 level or higher.

What additional skills will help you stand out?

• Experience working with large language models (LLM) and customizing them for business needs.
• Experience in managing development and data science teams.
• Understanding of ethical AI principles and risk management related to generative AI.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Berlin include:

• Career development and education opportunities within the company
• Home internet reimbursement
• Gym membership through Urban Sports Club - Package M
• Mental well-being program (iFeel)
• Language classes
• Company pension scheme with a company contribution up to 150 EUR per month
• Personal Gaming Account 
• Coffee, fruits, and snacks in the office
• Company events
• Seniority Awards  
• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.