Senior Delivery Consultant AI - Enterprises, AWS Professional Services

Amazon is hiring a Senior Delivery Consultant AI - Enterprises, AWS Professional Services in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this AI consultant role: the daily work is on AI products, without building the model.
The posting mentions AI agents, fine tuning and AI safety among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

ai-agentsfine-tuningai-safety

The Amazon Web Services Professional Services (ProServe) team is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will lead the technical direction and delivery of complex enterprise AI engagements, working across multiple workstreams and helping customers establish repeatable capabilities for adopting AI responsibly at scale.

This is a senior, hands-on individual-contributor role. You will move between strategic and implementation detail: shaping solutions and delivery roadmaps around customer use cases with senior stakeholders, making architecture and engineering trade-offs, reviewing code and evaluation evidence, and removing technical blockers for delivery teams. You will operate effectively when requirements are incomplete, making evidence-based recommendations and creating clarity for customer, AWS, and partner teams.

Beyond individual solutions, you will help customers address the wider conditions required for sustained value from AI, including data readiness, platform architecture, security, governance, operating models, adoption, and value measurement. You will also strengthen the Data & AI practice through mentoring, technical standards, reusable assets, and feedback from customer delivery.

The AWS Professional Services organisation is a global team of experts that helps customers realise their desired business outcomes using AWS. We work with customer teams and the AWS Partner Network (APN) to execute enterprise cloud and AI transformation initiatives.

Key job 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.
- Select and evaluate appropriate AI approaches, which may include traditional ML, large language models, retrieval, model adaptation (fine tuning, continuous pre-training), 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.

A day in the life
A typical day may include working with a customer team to turn an agreed use case into a detailed solution design and delivery backlog. You might review evaluation results from an AI application, investigate a quality, security, latency, or cost issue, and implement and test an improvement. Later, you may run a technical workshop to resolve data or integration constraints, pair with a customer engineer on code, or review an architecture decision with security and platform teams. You will regularly communicate progress, risks, and technical trade-offs to business and technical stakeholders. As delivery moves towards production, you will help establish monitoring and operational processes, complete documentation and knowledge transfer, and ensure the customer team can operate and extend the solution after the engagement.

About the team
Amazon values diverse experiences and encourages candidates to apply even if they do not meet every preferred qualification. AWS teams bring together people with varied backgrounds and perspectives to help customers design, build, operate, and secure cloud environments. Employee-led affinity groups, inclusion events, knowledge sharing, and mentorship support an inclusive culture and continued professional growth. We also value work-life harmony and strive for flexibility as part of our working culture. You will join technical experts across AWS Professional Services who work with customers and AWS Partners to achieve business outcomes using cloud and AI technologies.

Basic qualifications

- Experience as technical specialist in design and architecture
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
- Experience in external or internal customer facing, complex and large scale project management
- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience developing, deploying and managing AI products at scale

Preferred qualifications

- Experience with training and deploying machine learning systems to solve large-scale optimizations
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience with Large Language Model fundamentals, including architecture, training/inference lifecycles, fine-tuning, continuous pre-training and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Delivery Consultant AI - Enterprises, AWS Professional Services at Amazon rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Delivery Consultant AI - Enterprises, AWS Professional Services is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London.
The job was posted on October 28, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFine-tuningAI Safety

Also common in AI consultant jobs at this level

Python SQL RAG Prompt engineering Azure Java

Pay

Typical AI consultant job: $151k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you think about the risk of an AI system in this kind of role failing silently?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI agents, Fine-tuning, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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