Head of AI Strategy & Development

Das ist der Job

Qualifications Proven leadership in AI strategy and execution in a high‑growth or tech‑driven environment.

Darum lohnt es sich

Benefits Strategic ownership of high‑impact AI initiatives. Flexibility with remote‑first work environment and a great team shaping the future. Job Overview NeoBIM GmbH is a cutting‑edge startup transforming the construction industry with AI‑powered Building Information Modeling (BIM).

We are looking for a Head of AI Strategy & Development – part AI wizard, part strategic visionary – to define and drive the AI strategy of a future market leader in the BIM space. Responsibilities Lead the AI vision: define and execute NeoBIM’s AI strategy, combining strategic foresight with hands‑on implementation.

Own the full AI stack: oversee end‑to‑end development of advanced AI systems, including generative 3D models, large language models (LLMs), and multimodal neural networks, managing the full lifecycle from design to deployment and ongoing optimisation.

Stay hands‑on with code: actively contribute to core development tasks – prototyping, model training, debugging and performance tuning – and lead by example as a technical authority.

Drive product‑centered innovation: translate cutting‑edge AI research into practical, value‑creating features within NeoBIM’s product suite to enable automation, design optimisation and data‑driven insights across construction workflows.

Hands‑on programming excellence: expert‑level proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX) with strong coding habits. LLM & generative AI expertise: deep experience with training, fine‑tuning and deploying large language models (GPT, BERT, LLaMA, Mixtral) and generative AI systems (diffusion models, VAEs, GANs).

Multimodal & 3D AI systems: track record of building and optimising multimodal or 3D‑capable models (Vision Transformers, NeRFs, generative 3D architectures). Full AI system lifecycle ownership: experience leading end‑to‑end AI development – model training, deployment, performance monitoring and iteration at scale.

MLOps & scalable infrastructure: deep understanding of MLOps tooling and infrastructure (Docker, Kubernetes, MLflow, CI/CD pipelines, data versioning) and comfort building enterprise‑grade cloud/hybrid/on‑prem systems.

Strong analytical & mathematical foundation: solid grounding in statistics, optimisation and deep learning theory relevant to real‑world applications. Executive‑level compensation & growth path. Access to world‑class infrastructure. A culture of deep tech and real‑world application.

For any questions regarding this position, please contact Felix directly via phone or messenger at +49 1769 54222094. #J-18808-Ljbffr