3 days ago
Base Salary
$177k - $239k/yr
Responsibilities
- Work directly with customers’ development, data science, and AI engineering teams to understand business and technical needs.
- Design and guide implementation of GenAI and ML solutions using AWS AI/ML services.
- Develop RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and production-scale inference pipelines.
- Build and deploy multi-agent architectures and AI agents hands-on.
- Partner with Solutions Architects, Sales, Business Development, and AWS AI/ML service teams to accelerate customer adoption.
- Create blogs, whitepapers, reference architectures, workshops, presentations, demonstrations, and sample code repositories.
- Act as a technical liaison between customers and AWS Bedrock, AgentCore, SageMaker, and broader AI/ML service teams.
- Develop an internal AMERICAS community of GenAI subject-matter experts and support field opportunity development.
- Travel for customer workshops, executive briefings, and AWS events, approximately 20–30%.
Requirements
- 8+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- 3+ years of experience designing, implementing, or consulting on applications and infrastructure.
- 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
- Hands-on experience building foundation-model applications, including RAG pipelines, agent frameworks, prompt engineering, model evaluation, and fine-tuning.
- Hands-on experience building multi-agent architectures and deploying AI agents.
- Deep technical experience with generative AI, machine learning, and/or deep learning technologies.
- Strong understanding of context engineering and token optimization.
- Preferred: 5+ years of infrastructure architecture, database architecture, and networking experience.
- Preferred: experience with end-user or developer communities, cloud architecture, and developing, deploying, and managing AI products at scale.
- Preferred: experience coding agents and a strong mathematics and statistics background.
- Preferred: familiarity with model providers, orchestration frameworks, vector databases, and evaluation tools.
Benefits
- Base salary range is $176,600.00–$239,000.00 USD annually, with potential sign-on payments and restricted stock units.
- Benefits include medical, dental, vision, prescription, life and AD&D insurance, employee assistance and mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The role is customer-facing and includes approximately 20–30% travel across the United States, including workshops, executive briefings, and AWS events.
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.