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Possessing a deep understanding of AWS products and services, as a Senior Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI 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 strategies for implementing AI solutions on AWS. As a trusted advisor to our customers, you will provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process while ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSMentorship and 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
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of experience in cloud architecture and implementation
- 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.
- Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models
- Ability to communicate effectively in English (B2+) within technical and business settings
- Ph.d degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learnine Associate)
- Experience with automation and scripting (e.g., Terraform, Python)
- Experience with AWS AI services such as SageMaker, Bedrock, and other ML services
- Portuguese B2+ is a plus
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