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# Sr. Delivery Consultant - AI/ML, WWPS ProServe

- **Company:** Amazon.com, Inc.
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $153,600.0 - $207,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Code Review, Databases, Data Mining, Machine Learning, Performance Tuning, Software Architecture, Software Engineering, Cloud Platform System, Generative AI, Software Coding, Software Version Control, Serverless Computing
- **Published:** October 3, 2026
- **Apply:** https://dejobs.org/x/x/6299E3BDE72E4110B8681C2C65A8BAD4/job/

## About the Role

* 3+ years of cloud architecture and solution implementation experience
 * 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
 * Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
 * Experience in defining and creating benchmarks for assessing GenAI model performance
 * Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders, * Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
 * Experience in performance optimization and cost management for cloud environments
 * Experience communicating technical concepts to diverse audiences in pre-sales environments
 * Experience in external or internal customer facing, complex and large scale project management

## Description

* Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
 * Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
 * Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
 * Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
 * Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
 * Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility