1 day ago
Base Salary
$154k - $239k/yr
Responsibilities
- Advise customers on designing, implementing, and deploying Generative AI and machine learning solutions on AWS.
- Build prototypes, proofs of concept, and state-of-the-art GenAI solutions for customer engagements.
- Design, deploy, evaluate, fine-tune, and optimize LLM-powered agents, tools, embeddings, and retrieval approaches.
- Deliver customer briefings, deep dives, presentations, public talks, blogs, white papers, and reference architectures.
- Partner with data scientists, solution architects, sales, business development, partners, and AWS GenAI service teams to accelerate adoption.
- Translate customer feedback into technical and business requirements for AWS product and engineering teams.
- Create field-enablement materials and support a worldwide internal community of GenAI subject matter experts.
- Travel up to 30% may be required.
Requirements
- 8+ years of experience in a specific technology domain such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- 3+ years of experience in application or infrastructure design, implementation, or consulting.
- 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
- 5+ years of experience with Data and AI technologies, including AI/ML, GenAI, analytics, databases, or storage.
- 5+ years of experience designing, implementing, or consulting on machine learning, AI, or deep learning solutions.
- 5+ years of professional software development experience in ML-related languages such as Python or Java.
- Experience with LLM architectures, training and inference lifecycles, model optimization, prompt engineering, function calling, agentic workflows, embedding fine-tuning, retrieval evaluation, and LLM-powered agents.
- Experience with LangChain, LLAMAIndex, data augmentation, Responsible AI, performance evaluation frameworks, and AWS Well-Architected Framework.
- Experience with TensorFlow or PyTorch and RESTful APIs.
- 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 end-user or developer communities; and experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
- Preferred AWS experience includes Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Strong communication skills and the ability to work with executives, developers, customers, partners, and senior ML engineers.
Benefits
- Comprehensive medical, dental, vision, prescription, life, AD&D, employee assistance, and mental health benefits.
- 401(k) matching, paid time off, parental leave, and adoption and surrogacy reimbursement coverage.
- Sign-on payments and restricted stock units are included in the Amazon compensation package.
- Work locations listed are Irvine, Palo Alto, and Boston, with travel up to 30% possible.
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.