AI engineer

Lenovo; Greater London; Hybrid; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid working model (3:2)

Private medical

Pension scheme

Life insurance

Discounts on Lenovo products

Job summary

Lenovo ищет крупного инженера по инфраструктуре AI для разработки и реализации стратегии, охватывающей исследование и внедрение моделей на production. Вы будете лидировать команду инженеров, устанавливать стандарты и обеспечивать высокую эксплуатационную надёжность и контроль затрат.

Кандидат должен обладать обширным опытом в Linux, контейнеризации, облачных платформах и инструментах наблюдаемости, а также опытом работы с LLM инфраструктурой и CI/CD. Возможна гибридная работа в Великобритании.

Qualifications

• Сильные знания математики и статистики.
• Не менее 12 лет опыта в разработке ПО или инфраструктуре, 4+ года в AI/ML инфраструктуре.
• Опыт лидерства и наставничества в инженерной команде.

Responsibilities

• Определять стратегию инфраструктуры для инфраструктуры AI.
• Проектировать масштабируемые и экономичные решения Compute/Storage/Network.
• Вести команду инженеров и проводить обзоры дизайна.

Skills

Python

Leadership

System design

Distributed systems

Cloud computing

Communication

Observability

DevOps

Bash

AI/ML infrastructure

Education

Bachelor's or Master’s degree (CS/EE)

Advanced degree preferred

Tools

Terraform

Ansible

Pulumi

Docker

Kubernetes

Prometheus

Grafana

OpenSearch/ELK

Datadog

Job description

Задачи:

• Define and drive the long-term infrastructure strategy for AI workloads.
• Architect scalable, cost-efficient, and resilient compute, storage, and networking solutions that support the full AI lifecycle from experimentation through production.
• Serve as a technical lead and mentor to infrastructure engineers, establishing engineering standards, conducting design reviews, and fostering a culture of operational excellence across the team.
• Design and own the platforms, frameworks, and processes for deploying, monitoring, and managing AI models at scale in production environments, including model serving, A/B testing infrastructure, and rollback mechanisms.
• Architect and maintain sophisticated automation pipelines for AI model training, evaluation, testing, and deployment.
• Champion infrastructure-as-code practices and drive continuous improvement of CI/CD workflows.
• Partner with data scientists, ML engineers, product managers, and leadership to align infrastructure capabilities with research and business objectives.
• Act as the primary infrastructure point of contact for cross-team initiatives.
• Lead efforts to profile, benchmark, and optimize AI infrastructure and model serving for throughput, latency, GPU utilization, scalability, and cost efficiency at scale.
• Establish and enforce security best practices, access controls, and compliance frameworks across AI infrastructure.
• Ensure adherence to relevant regulatory requirements and internal governance policies.
• Own capacity forecasting, resource planning, and cost optimization for GPU clusters and associated infrastructure, balancing performance needs with budget constraints.

Требования:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• Advanced degree preferred.
• Proficient in general mathematics statistics .
• 12+ years of experience in software engineering, infrastructure engineering, DevOps/SRE, or a related field, with at least 4 years focused on AI/ML infrastructure.
• Demonstrated experience leading or mentoring engineering teams on infrastructure projects.
• Deep expertise in computer systems, distributed systems, and cloud computing architectures.
• Strong proficiency in Python and at least one additional systems language (e.g., Go, C++, Rust, Java) as well as understanding of Design Patterns and Solution Architecture.
• Expert-level Linux system administration, including package management, user/group management, file system internals, shell scripting (e.g., Bash), networking, and system configuration (e.g., systemd, kernel tuning).
• Strong architectural thinking with the ability to balance trade-offs across performance, reliability, security, and cost.
• Excellent communication and collaboration skills, with the ability to influence technical decisions across teams and present to senior leadership.
• Ability to thrive in a fast-paced, ambiguous environment and drive clarity through technical leadership.
• Expertise with observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, Datadog) for infrastructure, open telemetry n-tier application stacks and model monitoring with open telemetry and open inference.
• Knowledge of observability stacks, open Будет плюсом: Experience with AI and machine learning frameworks at scale (e.g., PyTorch, DeepSpeed, Megatron-LM, vLLM);
• Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and hybrid cloud architectures;
• Advanced experience with containerization (Docker) and orchestration (Kubernetes), including custom operators, Helm charts, and GPU scheduling plugins;
• Expertise with observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, Datadog) for infrastructure and model monitoring;
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible, Pulumi);
• Contributions to open-source infrastructure or ML tooling projects;
• Experience with large language model (LLM) training and inference infrastructure

Условия:

• Holiday purchase
• Private medical
• Income protection
• Hybrid working model (3:2)
• Attractive pension scheme
• Positive work life balance
• Learning and development
• Life insurance
• Lenovo and Motorola products discounts
• Lifestyle discounts
• Cycle to work
• MyGymDiscounts
• Mortgage advice and support
• Referral bonus