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# Delivery Consultant- AI/ML, WWPS ProServe Delivery Team

- **Company:** Amazon.com, Inc.
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Salary:** $131,300.0 - $177,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Code Review, Databases, Machine Learning, Performance Tuning, Software Architecture, Software Engineering, Generative AI, Software Coding, Software Version Control, Serverless Computing
- **Published:** July 1, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27813261/Delivery-Consultant-Ai-Ml-Wwps-Proserve-Delivery-Team-New-Jersey-Jersey-City-7375

## About the Role

2+ years of cloud architecture and solution implementation experience

 - 3+ years of machine learning/statistical modeling data analysis tools and techniques
 - 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 applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects

Preferred Qualifications

 - 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
 - Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
 - Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders

## 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


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