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Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art machine learning solutins under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
A day in the life
As a GenAI SA at AWS, you'll be the Subject Matter Expert (SME) for helping customers design Generative AI solutions. You'll engage directly with customers to understand their needs, assist in implementation, and deliver briefings. Your role involves creating white papers, blogs, reference implementations, and presentations to enable customers and partners. You'll develop field enablement materials for the broader technical teams to help understand how to integrate AWS GenAI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review.
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Deep understanding of generative AI, foundation models, and their applications in enterprise settings.
- Knowledge of RAG techniques, vector databases, embedding models and prompt engineering.
- Proven track record of delivering complex, large-scale AI/ML solutions.
- Travel up to 50% may be required.
- Knowledge of cloud architecture
- Experience with open source frameworks for building applications powered by language models like LangChain, LlamaIndex.
- Advanced knowledge of vector databases, semantic and hybrid search technologies, and embedding models.
- Expertise in prompt engineering, FM fine-tuning techniques, and model routing strategies.
- Familiarity with graph databases and their applications in RAG architectures.
- Experience with multimodal AI applications, including text, image, and audio processing.
- Knowledge of RAG evaluation metrics and optimization techniques.
- Experience with design, deployment, and evaluation of FM-powered agents and tools and orchestration approaches.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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