Associate Delivery Consultant, - AIML, Professional Services A2C Delivery, AWS ProServe A2C - VAR
Amazon Music- Posted 5 hours ago
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Job Description
Description
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.
Basic Qualifications
- Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- 5+ years in software development, cloud architecture or technology consulting
- Working knowledge of AI/ML fundamentals - model types, training, inference and evaluation
- Basic ML certification (AWS Certified Machine Learning Specialty or equivalent)
- Experience in cloud architecture design and implementation
Preferred Qualifications
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- AWS experience with proficiency across services such as Lambda, ECS/EKS, API Gateway, EC2, S3, and RDS
- Experience delivering AI/ML solutions on Amazon SageMaker - training, deployment, and inference pipelines
- Hands-on experience with Amazon Bedrock: RAG architectures, prompt engineering, and agentic workflows
- Experience implementing CI/CD pipelines, DevSecOps tooling, and infrastructure-as-code (CloudFormation / Terraform) for ML or application workloads
- Experience with containers (Docker/Kubernetes), serverless, or microservices architectures
- Experience communicating technical concepts to a non-technical audience
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 you're applying in isn't listed, please contact your Recruiting Partner.
More Info
Key Skills
AI ML fundamentals
Amazon SageMaker
EKS
AWS Certified Machine Learning Specialty
CI CD pipelines
Amazon Bedrock
DevSecOps tooling
About Company
