AI/ML Cloud Delivery Lead for Energy

Amazon; Houston (TX); Sur place; USD 154 000 - 208 000; Plein temps

Résumé du poste

Amazon Web Services, Inc. is hiring a Sr. Delivery Consultant - AI/ML, energy sector in Houston.

You will lead a cross-functional team, translate client challenges into scalable AWS AI/ML solutions, and collaborate with enterprise clients to deploy ML models in production. You will partner with sales and engineering to shape thoughtful cloud strategies, monitor performance, and train teams on best practices for model deployment, monitoring, and retraining—driving value for customers and

Qualifications

• 7+ years of technical specialist, design and architecture experience.
• 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
• 7+ years of external or internal customer facing, complex and large scale project management experience
• 5+ years of cloud architecture and solution implementation experience
• Bachelor's degree, or 7+ years of professional or military experience

Responsabilités

• Leading and developing a high-performing team of Account Executives and Cloud Architects
• Developing and supporting execution of sales strategies to meet team targets and drive revenue growth
• Managing customer relationships, ensuring high satisfaction and identifying new opportunities
• Leveraging deep AWS knowledge to guide sellers in proposing optimal solutions
• Monitoring and analyzing key performance indicators, ensuring accurate reporting and forecasting to optimize operational processes and manage risk

Connaissances

Technical expertise

Cloud architecture

Customer facing

Formation

Bachelor's degree / 7+ years experience

Outils

AWS Services

Description du poste

Amazon Web Services, Inc. is hiring a Sr. Delivery Consultant - AI/ML, energy sector in Houston.

You will lead a cross-functional team, translate client challenges into scalable AWS AI/ML solutions, and collaborate with enterprise clients to deploy ML models in production. You will partner with sales and engineering to shape thoughtful cloud strategies, monitor performance, and train teams on best practices for model deployment, monitoring, and retraining—driving value for customers and