Amazon
Sr. Delivery Consultant - AI/ML, AWSI Energy SDT
$154K–$208K
Houston, TX · Senior · Full-time · Posted Aug 19, 2026
- Experience
- 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 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.
- Education
- Bachelor's degree, or 7+ years of professional or military experience.
About the job
Designs and delivers cloud-based AI/ML solutions for enterprise and public-sector customers, from identifying opportunities and building models to deploying and monitoring them.
What you'll do
- Partner with customers to assess data, identify AI/ML opportunities, and translate business needs into scalable cloud solutions.
- Build and validate ML/DL models, communicate results, and collaborate on deployment, monitoring, and retraining.
- Lead and develop sales teams, support sales strategies, manage customer relationships, and monitor performance.
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/compliance standards including HIPAA and GDPR.
- Experience with cloud performance optimization and cost management, technical communication in pre-sales, or designing agentic AI systems.
Pay
153,600.00 - 207,800.00 USD annually (base salary)
Tools
AWS, Amazon Bedrock, AgentCore, HIPAA, GDPR
AI focus
Identify AI/ML opportunities; build and validate machine learning and deep learning models; deploy, monitor, and retrain models. Preferred experience includes agentic AI systems, multi-agent orchestration, tool-use agents, and workflow orchestration.
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