Ai/ml Specialist Professional Services jobs at Amazon in Brazil, São Paulo

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior 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 Senior 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.This position requires that the candidate selected be a US Citizen and have the ability to obtain a Public Trust clearance or higher.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 migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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.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.

- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience in cloud architecture and implementation experience

- 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 with designing and building application using AWS services such as Lambda, AWS Elastic Beanstalk, Kubernetes
- Experience with designing, developing, and maintaining search an analytic solutions (OpenSearch, Kibana)

Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions

- Professional software development experience with focusing on AI/ML technologies
- Design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with programming with at least one software programming language
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Excellent communication skills with ability to explain complex technical concepts
- Experience with building and maintaining scalable MLOps pipelines

- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or Master's degree in Computer Science, Engineering, Mathematics or equivalent
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects

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.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 artifactsAbout 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.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.

8+ years of experience in cloud architecture and implementation.Bachelor’s degree in computer science, engineering, or related field.1+ year experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, model customization including pre-training and fine-tuning techniques.7+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture as well as to machine learning, deep learning, NLP, CV, GNN, or distributed training.10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

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, DevOps Engineer Professional) preferredExperience with automation and scripting (e.g.,Terraform, Pyhton)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 audiencesPhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.Spanish B2+ is a plus

Possessing a strong understanding of AWS products and services, as a Delivery Consultant - Application Architecture you will work with customers, implementing and supporting enterprise application modernization and cloud development. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and implement migration strategies to AWS. As part of our team of trusted advisors to our customers, you will be responsible for implementing solutions, following best practices, optimizing performance, and supporting risk management throughout the project.Key job responsibilities
As a technology professional, you will be responsible for:* Implementing complex, scalable, and secure AWS solutions tailored to customer needs
* Providing technical support throughout project delivery
* Collaborating with stakeholders to gather requirements and implement effective migration strategies
* Supporting customers on industry trends and emerging technologies
* Contributing knowledge within the organization through documentation and creating reusable artifactsAbout 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:Mentorship & Career Growth:
We raise our performance bar as we strive to become Earth's Best Employer. You'll find knowledge-sharing, mentorship and career-advancing resources here to help you develop as a professional.Work/Life Balance:
We value work-life harmony. Success at work should not require sacrifices at home, which is why we strive for flexibility in our working culture. When we feel supported in the workplace and at home, we deliver our best work.

- Bachelor's degree in Computer Science, Engineering, or related field or equivalent combination of education and practical experience
- 3+ years implementing and delivering enterprise solutions, with experience in enterprise platforms (Java EE, .NET Framework) and cloud development
- Experience modernizing applications in Python, JavaScript, Node.js, Java, C#, Go, or Ruby to the cloud
- Familiarity with APIs, microservices, serverless architectures, containerization, and DevOps
- Able to communicate effectively in English within technical and business settings

- Experience with SOA, ESB, and n-tier architectures
- Able to communicate effectively in Spanish within technical and business settings
- AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer Associate)

Key job responsibilities
About youYour Responsibilities
- Define and own complex machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing.
- Advise leadership, both tech and non-tech.
- Support technical trade-offs between short-term needs and long-term goals.

- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Master's degree or above in computer science, machine learning, engineering, or related fields

Key job responsibilities
• Diving deep into customer segment needs and goals to develop targeted enablement strategies
• Collaborating with field sales teams to understand and address customer challenges
• Leading consultative teams that drive cloud adoption and innovation across global customers
• Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
• Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation
• Crafting monthly and quarterly business reviews to AWS leadership to surface key business insightsA day in the life
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.About AWS
Diverse Experiences
AWS 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.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

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions

- Professional software development experience with focusing on AI/ML technologies
- Design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience with programming with at least one software programming language
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Excellent communication skills with ability to explain complex technical concepts
- Experience with building and maintaining scalable MLOps pipelines

- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or Master's degree in Computer Science, Engineering, Mathematics or equivalent
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects