Senior AI Delivery Lead for Enterprise Solutions

Amazon Web Services (AWS)

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Amazon Web Services Professional Services (ProServe) is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. You will lead the technical direction and delivery of complex enterprise AI engagements across multiple workstreams, helping customers adopt AI responsibly at scale.

This is a senior, hands-on contributor role balancing strategy with implementation: shaping solutions and delivery roadmaps around real use cases, evaluating models,

Qualifications

Experience as technical specialist in design and architecture
Experience deploying and managing AI products at scale
Experience in technical leadership of large-scale, complex technology projects
Hands-on experience with generative AI or machine learning systems, including architecture, implementation, evaluation, and production operation
Experience with cloud-native architecture and software delivery practices, including APIs, data platforms, infrastructure as code, testing, CI/CD, security, and observability
Experience influencing senior business and technical stakeholders and translating strategic objectives into executable technical plans

Responsibilities

Translate customer use cases and business objectives into well-scoped AI solutions with measurable success criteria, technical requirements, and an iterative delivery plan.
Design and implement production AI solutions on AWS, including the application, data, integration, security, and operational components required to run them reliably.
Develop and test software using one or more programming languages, APIs, data pipelines, infrastructure as code, and continuous delivery practices.
Select and evaluate appropriate AI approaches, which may include traditional ML, foundation models, retrieval, model adaptation, tool use, or agentic workflows.
Establish evaluation and responsible AI controls covering solution quality, safety, privacy, security, latency, reliability, and cost.
Diagnose technical issues across models, applications, data, and infrastructure, and communicate trade-offs clearly to customer stakeholders.
Work with customer and partner teams to integrate solutions into existing workflows and complete documentation, knowledge transfer, and operational handover.
Use AI-assisted development practices, and contribute reusable assets and lessons to the Data & AI practice.

Skills

AI/ML delivery

Cloud architecture

Technical leadership

Stakeholder communication

Generative AI

MLOps / CI/CD

Programming / code review

Education

Ph.D. in computer science or related fields

Tools

Redshift

SageMaker

EMR

Kinesis

Lambda

EC2

Job description

This is a senior, hands-on contributor role balancing strategy with implementation: shaping solutions and delivery roadmaps around real use cases, evaluating models,

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