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Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA
Job Location:
Monthly Salary:
Posted:
17 July 2026 (20 days ago)
Posted:
Application Deadline:
15 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train and fine tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.
In this role you will be capable of using GenAI and other techniques to design evangelize and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Collaborate with AI/ML scientists engineers and architects to research design develop and evaluate generative AI algorithms and build ML systems to address real-world challenges
Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
Create and deliver best practice recommendations tutorials blog posts publications sample code and presentations adapted to technical business and executive stakeholder
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its 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.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 7 years of technical specialist design and architecture experience
- 5 years of database (eg. SQL NoSQL Hadoop Spark Kafka Kinesis) experience
- 7 years of consulting design and implementation of serverless distributed solutions experience
- 5 years of software development with object oriented language experience
- 3 years of cloud based solution (AWS or equivalent) system network and operating system experience
- 7 years of external or internal customer facing complex and large scale project management experience
- Bachelors degree or 7 years of professional or military experience
- Experience and technical expertise (design and implementation) in cloud computing technologies. Experience leading the design development and deployment of business software at scale or recent hands-on technology infrastructure network compute storage and virtualization experience. AWS experience preferred with proficiency in a wide range of AWS services (e.g. EC2 S3 RDS Lambda IAM VPC CloudFormation SageMaker Bedrock and other ML services). AWS Associate level certifications (e.g. Solutions Architect Associate Machine Learning Associate). Experience with automation and scripting (e.g. Terraform Python).
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train and fine tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.
In this role you will be capable of using GenAI and other techniques to design evangelize and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Collaborate with AI/ML scientists engineers and architects to research design develop and evaluate generative AI algorithms and build ML systems to address real-world challenges
Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
Create and deliver best practice recommendations tutorials blog posts publications sample code and presentations adapted to technical business and executive stakeholder
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its 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.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 7 years of technical specialist design and architecture experience
- 5 years of database (eg. SQL NoSQL Hadoop Spark Kafka Kinesis) experience
- 7 years of consulting design and implementation of serverless distributed solutions experience
- 5 years of software development with object oriented language experience
- 3 years of cloud based solution (AWS or equivalent) system network and operating system experience
- 7 years of external or internal customer facing complex and large scale project management experience
- Bachelors degree or 7 years of professional or military experience
- Experience and technical expertise (design and implementation) in cloud computing technologies. Experience leading the design development and deployment of business software at scale or recent hands-on technology infrastructure network compute storage and virtualization experience. AWS experience preferred with proficiency in a wide range of AWS services (e.g. EC2 S3 RDS Lambda IAM VPC CloudFormation SageMaker Bedrock and other ML services). AWS Associate level certifications (e.g. Solutions Architect Associate Machine Learning Associate). Experience with automation and scripting (e.g. Terraform Python).
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Key Skills
- Athletics
- Civil Engineering
- Communication
- Corporate
- Fire Fighting
- ACCA
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
