Senior Engineering Director - AI & Document Processing

• Define and communicate a multi-year vision that aligns product and state-of-the-art AI technology.
• Architect and govern a modern stack built on Python (70%), Rust (30%), PyTorch and Kubernetes.
• Oversee end-to-end model lifecycle, both offline and at runtime: data curation, pre-training, runtime model fine-tuning, evaluation and guard-railing
• Scale, coach and retain a high-performing organization distributed within a single time-zone; grow managers and ICs into future leaders.
• Continuously improve cost/latency trade-offs for large-scale inference and runtime, user-controlled fine-tuning.
• Evaluate and implement emerging AI technologies and methodologies, guiding the team to push the boundaries of Document Processing in enterprise environments.

• Proven engineering pedigree. Former hands-on IC able to jump into code reviews or prototypes when needed.
• Deep production experience with modern ML platforms (PyTorch, TensorFlow) and container-orchestration (K8s, Docker).
• Demonstrated success delivering AI/ML products at cloud scale (SaaS) with rigorous SLAs.
• Track record of building or operating LLM infrastructure (vector DBs, RAG pipelines, model optimization, guardrails).
• Understanding of machine learning fundamentals and familiarity with transformers.
• 12+ years in software engineering, 5+ years leading multi-disciplinary teams, including remote or matrix setups.

Shaping the future of agentic automation

As the world moves into an agentic future—the UiPath Platform™ enables AI agents, robots, people, and models to work together harmoniously to revolutionize industries and enhance human potential.