Delivery Consultant- Ai/ml, Wwps Proserve Delivery Team

Amazon Amazon · Big Tech · Arlington, VA · Project/Program/Product Management--Technical

This role focuses on designing, implementing, and scaling AI/ML solutions for enterprise customers on AWS, with a strong emphasis on Generative AI. The consultant will work with customers to identify use cases, select, fine-tune, and deploy models, and optimize performance. The role involves a mix of solution architecture, ML engineering, and customer advisory.

What you'd actually do

  1. 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
  2. Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
  3. 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
  4. 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
  5. 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

Skills

Required

  • 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
  • Current, active US Government Security Clearance of TS/SCI
  • Experience in defining and creating benchmarks for assessing GenAI model performance

Nice to have

  • 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 applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
  • Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical

What the JD emphasized

  • Current, active US Government Security Clearance of TS/SCI
  • Experience in defining and creating benchmarks for assessing GenAI model performance

Other signals

  • customer-facing
  • solution design
  • implementation
  • scaling AI/ML solutions
  • generative AI