Are you excited to help customers discover the hottest and best reviewed products? US Prime and Marketing Tech (UPMT) GeMA team is revolutionizing customer relationship management through generative marketing agentic workflows (GeMA). The GeMA’s SDEIII role will lead the cross-organizational initiative to develop and implement a cohesive Agentic Marketing Framework aligned with agentic components of GeMA (Customer Understanding, Channel Delivery, Content Creation, CX, Copy, Creative, and Critic). This role will connect multiple engineering and science teams to audit, consolidate, and develop AI-based solutions that transform how Amazon reaches customers with personalized marketing at scale across Stores. Technical Leadership and Scope The SDE III will develop the technical foundation for GeMA's multi-agent architecture, creating clear interfaces between the agentic components of GeMA while ensuring system cohesion. The Principal Engineer will be responsible for designing fault-tolerant multi-agent orchestration patterns, establishing evaluation frameworks for agent performance, and defining data contracts between components. The role requires aligning technical vision across numerous stakeholder teams like P13N (MessageCraft), AME, and NA Stores through detailed technical specifications and reference implementations. The SDE III will influence strategic technical decisions by presenting novel architectures to senior leadership, including SVPs and S-team members, demonstrating advanced prototypes that balance innovation with practical implementation paths. Technical artifacts will include architectural decision records (ADRs) for model selection trade-offs, reference implementations showing agent-to-agent communication patterns, and technical roadmaps balancing short-term wins with long-term architectural evolution.
Key job responsibilities
- Research, develop, and deploy novel approaches using large language models (LLMs) and multi-agent AI systems
- Design and implement scalable solutions for personalized recommendations and customer insights
- Create innovative evaluation frameworks for complex AI systems
- Collaborate with cross-functional teams to integrate AI solutions into production environments
- Conduct rigorous experimentation and data analysis to improve model performance
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually