1 day ago
Base Salary
$151k - $204k/yr
Responsibilities
- Advise early-stage founders on right-sized, scalable application and infrastructure architectures.
- Prototype solutions, build reference patterns, and demonstrate working implementations alongside startup teams.
- Analyze and improve architectures generated by coding agents, including their embedded decisions and tradeoffs.
- Guide founders in selecting foundation models and AI services and shipping production-ready GenAI applications.
- Advise on GenAI application cost, latency, accuracy, safety, and best practices.
- Help startups make pragmatic build, scale, and disposable-architecture decisions.
- Experiment with models, agent frameworks, and emerging tools to maintain technical expertise.
- Build relationships across the San Francisco startup ecosystem, including accelerators, incubators, and VC firms.
- Connect founder feedback and startup technology trends to AWS product, engineering, and roadmap teams.
- Share expertise at startup events, demo days, and developer meetups.
Requirements
- At least 4 years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- At least 2 years of experience designing, implementing, or consulting on applications and infrastructure.
- Experience designing and building applications with AWS services such as Lambda, AWS Elastic Beanstalk, and Kubernetes.
- Experience communicating complex technical concepts to technical and business audiences.
- Hands-on prototype or production experience with GenAI, including foundation models, agents, RAG, or fine-tuning.
- Preferred experience as a startup founder, founding engineer, or early engineer at a pre-Series A company.
- Preferred fluency with agentic coding tools such as Claude Code and Codex.
- Preferred experience shipping GenAI applications to production and managing model cost, latency, accuracy, and safety.
- Preferred depth in at least one technical or industry domain combined with broad full-stack fluency.
- Preferred experience building AI data foundations, including vector databases, data pipelines, or retrieval systems.
Benefits
- The role is based in San Francisco, California.
- Amazon offers health insurance, 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.
- Benefits include 401(k) matching, paid time off, and parental leave.
- The package includes sign-on payments and restricted stock units.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
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.