Senior Delivery Consultant - Machine jobs at Amazon in United States, Atlanta

The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
* Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects
* Any physical requirements are expectations with reasonable accommodations
* Manage work and priorities through ticketing system and workflows to complete customer requests and projects
* Collaboration with various stake holders to remove project obstacles
* Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction
* Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally
* Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords.
* Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment
* Participate in the migration, basic configuration and rollout of new or upgraded hardware
* Moving and lifting computer equipment up to 50 lbsA day in the life
Our team has three primary tasks:
1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement
2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks.
3. Work with ID-Scaling peers to build higher-level networking devices.
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.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.

- 2+ years of computer networking experience
- 2+ years of Linux operating systems experience
- Experience with computer hardware troubleshooting and repair
- Associates or Bachelor's degree in Information Technology, Computer Science, or a related field

- Experience managing work and priorities through a ticketing system
- Experience with cabling infrastructure best practices and methodologies
- Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.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 cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

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.

- 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 environments

We're a 2 pizza team moving fast to build a new agentic product from the ground up. If you are scrappy and bias for action is your favorite LP, you will fit right in. You will lead a team of applied scientists and software developers, driving the technical vision while fostering a culture of innovation and scientific excellence. You must be excellent at balancing business needs and strategic thinking with hands-on technical depth.We're prioritizing the following experience:
- Experience implementing reinforcement learning for autonomous agent behavior- Knowledge of personalization systems, recommendation engines, or dynamic content generation
- Production operational experienceAbout the team
Why AWSDiverse 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 BalanceInclusive Team CultureMentorship 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.

- PhD in Computer Science, Machine Learning, or related field
- 7+ years in applied research, with 3+ years of people management experience
- Track record of leading successful research projects and delivering business impact
- Strong publication record in top-tier conferences/journals (CVPR, NeurIPS, ICML, etc.)
- Experience managing technical teams in ML or AI
- Demonstrated ability to translate complex technical concepts to various audiences

- Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling
- Knowledge of multi-modal AI systems
- Experience in professional software development

Application deadline: Oct 15, 2025Possessing 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
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.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 cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Solve technical problems independently
2. Collaborating with others to define and implement solutions
3. Escalate risks with options, impact, and recommended solutions.
4. Is an established expert in at least 1 technology domain
5. Implement, automate, and manage scalable and secure AWS solutions tailored to customer needs
6. Provide technical guidance and troubleshooting support throughout project deliveryDiverse 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 AWS
Work/Life BalanceMentorship 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.AWS Global Services

- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ year(s) of experience in IT security, compliance, or risk management
- 3+ years experience in technology automation, implementation, integration, and/or deployment

- 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
- Work experience in any of the following industries: financial services (banking, capital markets, payments, insurance, or other segments), automotive, telecommunications, healthcare, life sciences, energy, media & entertainment, or manufacturing.
- Hands-on technical expertise in building security capabilities in code, deploying infrastructure as code, and implementing enterprise security solutions (e.g. WAF, IPS, Anti-DDOS, SIEM)