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

Python

Rust

PyTorch

Kubernetes

TensorFlow

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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