2 days ago
Base Salary
$154k - $208k/yr
Responsibilities
- Advise customers on the design, implementation, and deployment of Generative AI and machine learning solutions.
- Build prototypes, proofs of concept, and new solutions for customer use cases.
- Design, deploy, evaluate, fine-tune, and optimize LLM-powered agents, tools, embeddings, and retrieval approaches.
- Deliver customer briefings, deep dives, presentations, public talks, white papers, blogs, and reference architectures.
- Partner with Data Scientists, Solutions Architects, Sales, Business Development, and AWS Generative AI service teams to accelerate adoption.
- Provide technical guidance to field teams and develop internal GenAI subject-matter-expert communities and enablement materials.
- Gather customer feedback and translate it into business and technical requirements for AWS product and engineering teams.
Requirements
- At least 7 years of experience in relevant technology domains and at least 7 years of software or Internet industry development or implementation/consulting experience.
- At least 8 years of experience in specific technology domain areas, as stated in the posting.
- At least 3 years of experience in application and infrastructure design, implementation, or consulting.
- At least 5 years of experience with Data and AI technologies and at least 5 years designing or implementing machine learning, AI, or deep learning solutions.
- At least 5 years of professional software development experience in ML-related languages such as Python or Java.
- Deep knowledge of machine learning and LLM fundamentals, including architectures, training and inference lifecycles, model optimization, evaluation, fine-tuning, prompt engineering, function calling, agentic workflows, embeddings, and retrieval.
- Experience with LangChain, LlamaIndex, data augmentation, Responsible AI, performance evaluation frameworks, AWS services, and the Well-Architected Framework.
- Experience with TensorFlow or PyTorch and customer-facing technical communication with audiences ranging from executives to developers.
- Master's degree in statistics, mathematics, data science, business analytics, engineering, computer science, or another quantitative field.
- Preferred qualifications include infrastructure, database, and networking architecture experience; experience with developer or end-user communities; and experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
Benefits
- Comprehensive health benefits including medical, dental, vision, prescription, life and AD&D insurance, an employee assistance program, mental health support, a medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement.
- 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units may be included in the Amazon package.
- The role may require up to 30% travel.
- The position is based in Irvine, California.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.