Senior Engineering Director - AI & Document Processing

Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose.

Could that be you?

Why this role matters:

UiPath is redefining how enterprises understand and transform documents at scale. You will be the technical and organizational force multiplier leading our London team on UiPath's Intelligent Document Processing (IDP) solution-a mission-critical, AI-native product with global visibility and strategic impact across the organization. This is a highly visible, impact-driven position reporting to the global VP of Engineering for Document Understanding, with exposure to UiPath's executive team (CEO, CTO & CPO).

Key responsibilities

• 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.

Requirements

• 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.

Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.