Solutions Architect Msp Aws Partner Tech Journey jobs at Amazon in United States, Dallas

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:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
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 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.

- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in software development with object oriented language
- 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Professional level certification
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application deadline: Jan 22, 2026Possessing 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:- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization 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.
never stop embracing our uniqueness.
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.

- 3+ years of cloud architecture and solution implementation experience
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments

- 5+ years of IT implementation experience
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- 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
- Experience in performance optimization and cost management for cloud environments
- Experience presenting technical solutions to diverse audiences in pre-sales environmentsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

- Have a strong understanding of large-scale computing solutions.
Key job responsibilities
Roles and Responsibilities
- Help hire, on-board and train new SAs via mentorship and builder programs.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 specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

You will also participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about AWS technology and industry trends (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).Key job responsibilities
In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create world-class solutions built on 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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Knowledge of cloud architecture

- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience working with end user or developer communities
- Knowledge of software development tools and methodologies

Application deadline: Jan 6, 2026As a Delivery Consultant - Application Modernization, 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 applications, 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
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 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.

- 3+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience
- Bachelor’s degree in computer science, Engineering, related field, or equivalent experience
- 3+ years experience delivering application architecture/design/modernization projects, including cloud-based solutioning (AWS or equivalent), with AI and automation
- 3+ years experience with Infrastructure as Code (IaC) tools and practices

- AWS Professional level certification, or Associate's degree or above
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- 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 delivering large-scale software development and modernization initiatives, with deep expertise in multiple programming languages (e.g. Java, Python, C++, JavaScript, Microservices) and Generative AI tools/technologies
- Proven ability to deliver software engineering best practices across testing, source control, code reviews, and deployment/release management processesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
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 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.

- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in software development with object oriented language
- 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Professional level certification
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We're seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role, you'll be at the forefront of validating and ensuring the quality of our advanced ML hardware systems as they transition from development to large-scale deployment across AWS's vast server fleet. You'll be responsible for designing and implementing comprehensive system-level test strategies that cover the full spectrum of our ML acceleration products, from individual components to fully integrated systems. This position requires a unique blend of hardware knowledge, software expertise, and systems thinking, as you'll be working at the intersection of custom silicon, complex firmware, and high-performance ML workloads.
Key job responsibilities
* Design and implement system-level test strategies for ML acceleration products
* Develop comprehensive functional and performance tests for complete ML systems
* Create and maintain scalable test infrastructure for high-volume product validation
* Implement product bring-up and first-boot test procedures
* Drive improvements in test coverage, product quality, and manufacturing efficiency
* Collaborate with hardware and software teams to ensure end-to-end product validation
* Analyze system-level test data to identify and resolve integration issues
* Debug complex hardware/software interactions in a production environment
* Develop and maintain documentation for system test procedures and manufacturing processes
* Optimize test workflows to balance thoroughness with production efficiencyA day in the life
Why AWSWork/Life Balance
Mentorship 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.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.
*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.*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, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*
Here at AWS, it’s 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship 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."

* Bachelor's degree in Computer Engineering, Electrical Engineering, or related field
* 3+ years in system-level product testing
* Strong programming skills in Python, C/C++
* Experience with Linux-based systems and scripting
* Understanding of computer architecture and system-on-chip (SoC) designs

Preferred Qualifications:
* Experience working in high-volume manufacturing environments, particularly with ODM/CM partners
* Experience implementing and maintaining test solutions at scale
* Experience with ML/AI hardware systems and accelerators
* Familiarity with server and data center environments
* Knowledge of hardware/software co-design and validation techniques
* Experience with continuous integration and test automation frameworks
* Strong debugging and problem-solving skills at the system level
* Understanding of power management and thermal testing for high-performance systems
* Experience with performance profiling and optimization of ML workloads