The business problem is to help AWS customers implement Generative AI solutions and realize transformational business opportunities by applying Generative AI algorithms to solve real-world problems with significant impact.
Requirements
- 1+ years of hands-on experience with generative AI technology
- 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
- 2+ years of hands on experience with Python to build, train, and evaluate models
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
- Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
- Hands on experience building cloud applications
Responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
- Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience
- Develop proof-of-concepts, and make plans for launching solutions at scale
- Provide guidance on best practices for applying generative AI responsibly and cost efficiently
Other
- Bachelor's degree and 3 years of experience or Master's degree and 4 years of experience
- Customer facing experience
- Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Work safely and cooperatively with other employees, supervisors, and staff
- Adhere to standards of excellence despite stressful conditions
