Delivery Consultant - AI/ML, Professional Services

Amazon is hiring a Delivery Consultant - AI/ML, Professional Services in Warsaw, Poland. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI consultant role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AWS, RAG and LLM integration among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.
Posted within the past two weeks.

AI in this role

Design, implement, and manage AWS AI/ML and cloud solutions as a delivery consultant for enterprise customers.

aws

ragllm-integrationcloud-architectureconsultingmigrationtechnical-guidance

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2.Providing technical guidance and troubleshooting support throughout project delivery
3.Collaborating with stakeholders to gather requirements and propose effective migration strategies
4.Acting as a trusted advisor to customers on industry trends and emerging technologies
5.Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Experience in cloud architecture and implementation.
- Hands-on experience designing and building GenAI and agentic systems (model selection trade-offs, LLM integration, RAG, prompt/context engineering, agent orchestration, addressing non-determinism and output quality evaluation).
- Experience with infrastructure automation (CloudFormation or Terraform), containers (i.e. Docker, K8S, ECS, Fargate…), observability, and infrastructure cost management.
- Demonstrated consulting skills, ideally through previous roles as a Consultant / Architect and ability to travel occasionally to customer locations.
- Experience in cloud architecture and implementation.
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
- Hands-on experience designing and building GenAI and agentic systems (model selection trade-offs, LLM integration, RAG, prompt/context engineering, agent orchestration, addressing non-determinism and output quality evaluation).
- Experience with infrastructure automation (CloudFormation or Terraform), containers (i.e. Docker, K8S, ECS, Fargate…), observability, and infrastructure cost management.
- Demonstrated consulting skills, ideally through previous roles as a Consultant / Architect and ability to travel occasionally to customer locations.

Preferred qualifications

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
- Experience with automation and scripting (e.g., Terraform, Python).
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Practical, hands-on knowledge of at least 1 programming language (TypeScript / Go / C++ / Python / Rust).
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
- Experience with automation and scripting (e.g., Terraform, Python).
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Experience in solving complex business problems with cloud computing technologies and artificial intelligence, and facilitating discussions regarding architectural trade-offs, best practices and risks.
- Practical, hands-on knowledge of at least 1 programming language (TypeScript / Go / C++ / Python / Rust).

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.

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.

The minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated.

Amazon reserves the right to offer a higher base salary, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.

Company supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).

See below the minimum gross base salary for this position:

Warsaw, POL - 18,141.67 PLN Monthly

How we rate this

Delivery Consultant - AI/ML, Professional Services at Amazon rates 60 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

Delivery Consultant - AI/ML, 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 PL, Warsaw.
The job was posted on October 16, 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

RAGLLM IntegrationCloud ArchitectureConsultingMigrationTechnical GuidanceAWS

Also common in AI consultant jobs at this level

AI agents Machine learning SQL Prompt engineering Azure Databricks

Pay

Typical AI consultant job: $153k

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 would you design a retrieval step so the model answers from real data instead of guessing?
How have you integrated a large language model into a production application?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where consulting was part of your work. What did you do?
Tell me about a project where migration was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, LLM Integration, Cloud Architecture, Consulting, and Migration. 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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