Skip to content

Amazon

Delivery Consultant - AI/ML, AWS Professional Services - Industries

Amazon is hiring a Delivery Consultant - AI/ML, AWS Professional Services - Industries in Frankfurt, Germany. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Are you passionate about helping organizations unlock the full potential of cloud technology? We are looking for a technically skilled and curious Delivery Consultant to join our Professional Services team at Amazon Web Services (AWS). In this role, you will guide customers through their cloud journey, designing and implementing solutions that address complex technical challenges while delivering measurable business value.

You will work directly with customers to assess their current environments, define target architectures, and build solutions that are operationally ready and built for scale. From presales engagements through delivery, you will serve as a trusted technical advisor, collaborating with cross-functional teams and partners to drive successful outcomes. If you thrive on solving hard problems, enjoy working across a variety of technologies, and want to make a real impact on how organizations adopt and succeed with cloud services, this role is for you.

Key job responsibilities
- Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI solutions on AWS that deliver measurable business value
- Discuss complex industry-specific business and technology concepts with senior customer stakeholders, particularly across Telecommunications industry
- Lead executive and technical workshops with customers to identify transformation opportunities and define how Generative AI, Agentic AI, and Machine Learning can accelerate business outcomes
- Drive large and complex customer engagements across pre-sales and delivery, from ideation and strategy through architecture design, scoping, execution, and successful delivery outcomes
- Provide technical leadership and delivery oversight across customer engagements to ensure alignment on scope, architecture, deliverables, timelines, risks, and expected business outcomes
- Act as a trusted advisor to senior customer stakeholders, guiding AI and cloud transformation initiatives while balancing business priorities, governance, scalability, and operational readiness
- Mentor consultants and delivery teams by promoting AWS best practices, reusable patterns, and high standards of technical and delivery excellence across engagements

A day in the life
Your primary focus is technical solution design during presales, where you assess customer needs, define architectures, and present approaches that solve for complexity and scale. You collaborate with account teams, partners, and service teams to shape proposals and identify risks early. As engagements move into delivery, you provide oversight and guidance to ensure solutions stay on track. You also dedicate time to creating technical content, mentoring colleagues, and contributing to the broader professional services community.

About the team
Our team within AWS Professional Services partners with customers to accelerate their cloud adoption and help them achieve meaningful business outcomes. We bring deep technical expertise and a collaborative approach to every engagement, working alongside customer teams and AWS partners to solve complex challenges. We are building an inclusive culture where curiosity is encouraged, knowledge is shared freely, and every team member has the opportunity to grow. If you are excited about shaping how organizations transform with cloud technology, we would love to have you on our team.
221100

Basic qualifications

- Bachelor's degree or above in a quantitative field, or experience in defining and creating benchmarks for assessing GenAI model performance
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
- Experience in quantitative role (engineering, process re-engineering, quality assurance), or experience using financial models, KPIs, and data analysis to support business decisions
- Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred qualifications

- Experience in IT implementation
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience in performance optimization and cost management for cloud environments
- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or Bachelor's degree
- Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders

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.

m/w/d

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

Delivery Consultant - AI/ML, AWS Professional Services - Industries at Amazon rates 67 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Also common in AI consultant jobs at this level

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

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get new AI consultant jobs (Works on AI ●●●○ or higher) by email

One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free.

Similar roles

Other roles that work on AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Amazon

More AI consultant jobs

Related searches

Same AI level

Jobs by city