TL;DR

Sr. AI/ML Specialist (AI Engineering): Designing and implementing complex, scalable, and secure AWS AI solutions tailored to customer needs with an accent on technical guidance and troubleshooting support throughout project delivery. Focus on industry trends, emerging technologies in AI, and ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Company

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

Design and implement complex, scalable, and secure AWS AI solutions tailored to customer needs.
Provide technical guidance and troubleshooting support throughout project delivery.
Collaborate with stakeholders to gather requirements and propose effective AI implementation strategies.
Act as a trusted advisor to customers on industry trends and emerging technologies in AI.
Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

Requirements

Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
5+ 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 and Spanish within technical and business settings.
Technical Leadership.

Nice to have

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 Professional level certifications (e.g., Solutions Architect Professional, Machine Learnine Speciality).
Experience with automation and scripting (e.g., Terraform, Python).
Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Experience with AWS AI services such as SageMaker, Bedrock, and other ML services.
Spanish B2+ is a plus.

Culture & Benefits

Amazon values diverse experiences.
Employee-led affinity groups foster a culture of inclusion.
Ongoing events and learning experiences inspire to never stop embracing uniqueness.
Endless knowledge-sharing, mentorship and other career-advancing resources are provided.
Flexibility as part of the working culture is valued.