Senior Delivery Consultant Ai - Enterprises, Aws Professional Services

The Amazon Web Services Professional Services (Pro Serve) 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
• Ph D 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
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