Senior Engineering Director - AI & Document Processing at UiPath

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

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

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

Skills

Key technologies and capabilities for this role

PythonRustPyTorchKubernetesTensorFlow

Questions & Answers

Common questions about this position

What technical skills and experience are required for this role?

Candidates need proven engineering experience as a former hands-on IC, deep production experience with PyTorch/TensorFlow and Kubernetes/Docker, success delivering AI/ML products at cloud scale, track record with LLM infrastructure like vector DBs and RAG pipelines, and understanding of ML fundamentals including transformers. Additionally, 12+ years in software engineering and 5+ years leading multi-disciplinary teams including remote setups are required.

What is the work arrangement or location policy for this position?

The role leads a London team and involves a high-performing organization distributed within a single time-zone. Many roles at UiPath allow flexibility in when and where work gets done, with the mix of hybrid, office-based, and remote workers varying by team.

What is the company culture like at UiPath?

UiPath values curious, self-propelled, generous, and genuine people who thrive in a fast-moving, fast-thinking growth company and care about each other, the company, and its larger purpose of transforming the world through automation.

What compensation or salary information is provided?

This information is not specified in the job description.

What makes a strong candidate for this Senior Engineering Director role?

A strong candidate has 12+ years in software engineering with 5+ years leading teams, hands-on AI/ML expertise including PyTorch and LLM infrastructure, and the ability to define visions and scale organizations—even if they don't tick every box, passion and diverse experience are valued, so apply anyway.

UiPath

Robotic process automation software solutions

About UiPath

UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.

New York City, New YorkHeadquarters

2005Year Founded

$1,936.8MTotal Funding

IPOCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Rapid AI agent evolution may outpace UiPath's current RPA offerings.

High implementation costs and rigidity of traditional RPA tools could deter clients.

Emergence of platforms like Salesforce's Agentforce may provide competitive alternatives.

Differentiation

UiPath offers AI-driven workflows enhancing business efficiency through intelligent automation.

The company provides robust governance and multiple robots on a single virtual machine.

UiPath's marketplace for third-party integrations expands its ecosystem and customer solutions.

Upsides

UiPath leads the 2024 Everest Group automation assessment, showcasing industry leadership.

The launch of AI Trust Layer enhances governance of GenAI features across the platform.

Collaboration with The Bank of East Asia expands UiPath's enterprise automation solutions.

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