AI/ML Delivery Architect - AWS Cloud

Amazon Web Services (AWS); Arlington (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon Web Services (AWS) Professional Services is seeking a Delivery Consultant to partner with our largest Retail and CPG customers. You will design, build, and deploy AI and ML solutions on AWS that drive measurable business outcomes, translating complex requirements into production-ready architectures.

You will collaborate with AWS and partner consultants, guide customers through cloud journeys using agile methods, mentor teammates, and contribute reusable artifacts for future engagements.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or related field.
• 3+ years of customer-facing work engaging with executives, technologists, or partners to solve business problems with advanced technologies.

Responsibilities

• Design and implement scalable, secure AI and ML solutions on AWS tailored to customer objectives and technical requirements.
• Collaborate with customer stakeholders to gather requirements and define strategies for model training, deployment, and optimization.
• Provide technical guidance throughout project delivery, identifying and mitigating risks while ensuring adherence to cloud architecture best practices.
• Contribute to presales activities by evaluating customer needs, proposing solution designs, and articulating the value of AWS AI and ML services.

Skills

Cloud architecture

Solution implementation

AWS services knowledge

Customer-facing

Pre-sales support

Mentorship

Education

Bachelor's degree (any field listed)

Tools

AWS services: EC2, ELB, RDS, Route53, S3

Job description

Amazon Web Services (AWS) Professional Services is seeking a Delivery Consultant to partner with our largest Retail and CPG customers. You will design, build, and deploy AI and ML solutions on AWS that drive measurable business outcomes, translating complex requirements into production-ready architectures.

You will collaborate with AWS and partner consultants, guide customers through cloud journeys using agile methods, mentor teammates, and contribute reusable artifacts for future engagements.