Overview:
In this role, you will design, build, and deploy scalable AI/ML solutions on AWS for Retail and Consumer Packaged Goods customers, guiding cloud and AI journeys from requirements to production-ready implementations. You’ll work with AWS and partner consultants to translate needs into architectures using agile methods, addressing risks and ensuring measurable business value. You’ll contribute to presales, share reusable technical artifacts, and mentor teammates, all while staying current on AWS AI/ML services. This is a hands-on, problem-solving role with visible impact across strategic customers. Compensation / Benefits health insurance (medical, dental, vision) 401(k) matching paid time off par·ental leave RSUs and sign-on incentives comprehensive benefits package
Responsibilities:
Design and implement scalable AI/ML solutions on AWS aligned to business goals and technical requirements Collaborate with stakeholders to assess current maturity, gather requirements, and plan model training, deployment, and optimization Provide technical guidance throughout delivery, identify risks, and apply cloud architecture best practices Contribute to presales by evaluating needs and articulating AWS AI/ML value Mentor team members and create reusable artifacts (reference architectures, content) for future engagements
Key requirements:
3+ years of cloud architecture and solution implementation experience Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) Experience deploying AWS services in distributed environments Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or related field 3+ years of customer-facing experience engaging with executives, technologists, or partners to solve business problems with advanced technologies collaboration and teamwork strong communication skills curiosity and adaptability AWS EC2, ELB, RDS, Route53, S3 AI/ML solution design and deployment on AWS cloud architecture and solution delivery
