Professional Services II - Amz19475.5

Amazon Amazon · Big Tech · Dallas, TX · Corporate Operations

This role focuses on building and delivering Generative AI solutions for customer-facing business problems using AWS services and open-source technology. Responsibilities include designing, developing, and evaluating solutions like RAG, multi-agent systems, and model fine-tuning, as well as providing guidance and creating best practices for customers. The role also involves analyzing data to optimize processes and identify investment opportunities.

What you'd actually do

  1. Collaborate with strategists, AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges:
  2. Build robust and scalable Generative AI solutions for customer facing business problems, leveraging internal assets, AWS services and open-source technology.
  3. Deliver a wide range of GenAI solutions including RetrievalAugmented Generation (RAG), Multi-Agent systems, Intelligent Document Processing, AI chatbots, and model fine-tuning.
  4. Interact with customers directly to understand their business problems, via diagnostic calls and discovery workshops, and gather their data, architecture and security requirements for designing production-ready generative AI solutions.
  5. Aid customers in implementing generative AI solutions, for example providing guidance/advice on adoption patterns and paths to production, code snippets, or hands-on development on customerowned resources.

Skills

Required

  • Master's degree or foreign equivalent degree in Data Science, Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or a related occupation. Alternatively, Bachelor’s degree or foreign equivalent degree in Data Science, Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the master’s degree and one year of experience.
  • Programming languages including SQL or Python.
  • AWS stack and services and best architecture design practices.
  • Refining, optimizing, and deploying AI/ML models, pipeline, and full solutions in production software applications.
  • Translating technical aspects of analysis and metrics into actionable insights.
  • Machine Learning and generative AI concepts and application strategies.
  • Statistical techniques and methodologies including hypothesis testing, and A/B Testing.

What the JD emphasized

  • production-ready generative AI solutions
  • implementing generative AI solutions
  • AI/ML models, pipeline, and full solutions in production software applications
  • Machine Learning and generative AI concepts and application strategies

Other signals

  • customer-facing business problems
  • production-ready generative AI solutions
  • implementing generative AI solutions
  • development of general-purpose assets