Director AI Platform Engineering

About This Opportunity

We are representing a confidential media technology organization that is establishing a new AI Engineering & Platform team in Germany. This is a senior hands-on leadership role where you will build and lead the technical foundation for production AI services supporting next-generation media capabilities, localization, automation, and workflow systems.

As Director of AI Platform Engineering, you will build a high-performing engineering team from the ground up, deliver complex AI platform and integration projects, and provide technical direction across cloud infrastructure, model deployment, AI services, agentic workflows, and production operations. You will lead a hybrid engineering team based primarily in Germany while collaborating with engineers in other global locations, including the United States.

Responsibilities

• Build, lead, mentor, and develop a distributed AI engineering team across Germany and other locations, recruiting and standing up the full AI/ML engineering organization from scratch including applied ML engineers, MLOps/platform engineers, data engineers, and integration engineers
• Lead development, hosting, and ongoing improvement of cloud-native training and inference platforms for production NLP technology including machine translation, automatic speech recognition, and text-to-speech
• Own technical delivery for AI platform, model-serving, workflow automation, and applied AI engineering initiatives with clear SLA performance metrics
• Lead architecture, execution, deployment, and operations for scalable AI services including inference platforms, training environments, deployment pipelines, observability, and operational support
• Own infrastructure cost efficiency as an ongoing responsibility, managing GPU utilization, training versus inference cost trade-offs, and autoscaling
• Continuously evaluate internal and external AI technologies including commercial models, open-source models, agentic frameworks, orchestration tools, and vendor platforms
• Make strategic recommendations on when to build, buy, partner, or integrate with third-party AI capabilities
• Establish and drive MLOps practices including reproducible training pipelines, model versioning and registry, automation, CI/CD, monitoring, automated quality evaluation, testing, and release management
• Establish engineering standards, operating rhythms, delivery practices, documentation expectations, and technical review processes
• Support adoption of AI capabilities across applications and workflows through reusable platforms, services, APIs, and technical patterns
• Partner with stakeholders across engineering, product, operations, and business leadership in the US and Europe
• Ensure AI systems are reliable, secure, maintainable, cost-conscious, and aligned with production business needs
• Represent AI/ML technology capability and constraints to executive leadership and contribute to overall technology and product strategy

What We're Looking For

Required Qualifications:

• 10+ years in software/ML engineering, including 4+ years in a technical leadership role owning both people management and architecture/system-design decisions
• Direct, hands-on experience with model training/fine-tuning, evaluation methodology, and production deployment (not solely API-consumer experience)
• Proven experience designing and operating production ML infrastructure at scale including training pipelines, model serving/inference, GPU resource management, and MLOps tooling on at least one major cloud provider (AWS, GCP, or Azure)
• Experience with distributed training, Slurm/HPC, Kubernetes, Docker, Terraform, or similar infrastructure technologies
• Track record of building a technical team from scratch to a functioning, multi-workstream organization, including recruiting, leveling, and distributed team design across locations and time zones
• Demonstrated ability to translate business/product requirements from non-technical stakeholders into a technical roadmap and communicate technical trade-offs to executives in business terms
• Significant experience leading engineering teams responsible for cloud platforms, AI/ML systems, data platforms, workflow automation, or production software systems
• Strong technical background in cloud architecture, software engineering, platform engineering, DevOps, or AI/ML engineering
• Experience with agentic workflows, LLM orchestration, model evaluation, RAG patterns, or AI-enabled automation platforms
• Experience evaluating commercial and open-source AI models or vendor platforms
• Experience delivering production systems that require reliability, monitoring, automation, security, and operational ownership
• Strong understanding of modern AI architectures, model-serving patterns, APIs, data pipelines, and applied AI integration
• Ability to evaluate technical options, make pragmatic recommendations, and communicate tradeoffs to both technical and non-technical audiences
• Experience leading complex technical programs from planning through production deployment and ongoing operations
• Ability to work effectively with US-based leadership while operating independently from Germany

Preferred Experience:

• Experience with speech, language, localization, dubbing, media workflows, automatic speech recognition, machine translation, text-to-speech, or content-processing systems
• Prior experience in media, localization, entertainment technology, or related content-production industries with direct exposure to subtitling, dubbing, or content compliance workflows
• Familiarity with content-security frameworks used by major studios and broadcasters and their requirements for vendor/internal systems
• Prior experience managing or migrating away from third-party AI/ML vendor relationships, including contract wind-down and knowledge-transfer
• Experience in media, entertainment, localization, post-production, or content supply chain environments

How We Work with You

Our talent team at Get A Job.ai partners with exceptional organizations to connect them with outstanding candidates. When you apply through our platform, one of our experienced recruiters will screen your application and arrange an initial conversation to understand your background and goals. If there's a strong match, we will submit your profile to our client for consideration. Please note that you should not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We celebrate diversity and are dedicated to creating an inclusive environment for all candidates.