Amazon
Sr. Delivery Consultant - AI/ML, AWSI Energy SDT
$154K–$208K
Houston, TX · Senior · Full-time · Posted Sep 1, 2026
- Experience
- 7+ years in technical specialist, design and architecture; 3+ years in cloud-based solutions (AWS or equivalent), systems, networks and operating systems; 7+ years in customer-facing complex, large-scale project management; 5+ years in cloud architecture and solution implementation.
- Education
- Bachelor's degree, or 7+ years of professional or military experience.
About the job
Partners with enterprise and public-sector customers to identify AI/ML opportunities and build, deploy, monitor, and retrain scalable cloud solutions on AWS.
What you'll do
- Assess customer data and business challenges, then build and validate ML/DL models and communicate results.
- Collaborate with AWS specialists to deploy, monitor, and retrain models for customer use cases.
- Lead and develop sales teams, support sales strategy and customer relationships, and monitor performance and forecasts.
What they ask for
- 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.
Nice to have
- Advanced technology degree or AWS Professional level certification; knowledge of AWS services and security and compliance standards including HIPAA and GDPR.
- Experience in cloud performance optimization and cost management, communicating technical concepts in pre-sales, or designing and operationalizing agentic AI systems.
Pay
153,600.00 - 207,800.00 USD annually (base salary)
Tools
AWS, Amazon Bedrock, AgentCore, HIPAA, GDPR
AI focus
Build, validate, deploy, monitor, and retrain ML/DL solutions; preferred experience includes agentic AI systems using multi-agent orchestration, tool-use agents, and workflow orchestration.
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