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About the Role

Own the infrastructure, platform, and production systems for agentic autonomous campaigns, leading the design, build, and scaling of core services. Translate prototype agent capabilities into robust production systems and build APIs, pipelines, and frameworks for reliable agent operation at scale. This role requires a customer-obsessed approach, balancing technical expertise with product sensibility to set standards, influence architecture, and ensure end-to-end delivery.

Responsibilities

Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns.
Design and implement scalable architecture for agent orchestration, tool invocation, state management, and feedback loops.
Build scalable, reusable data and tool registry.
Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact.
Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models.
Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance.
Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance.
Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings).
Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment.

Requirements

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.
Experience with AI/ML technologies.
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.

Skills

AI/ML technologies

Location

USA, CA, Palo Alto
USA, NY, New York
USA, WA, SEATTLE

Work Type

Full-time

Experience Level

Senior

Education Level

Bachelor's degree in computer science or equivalent

Salary/Compensations

193,300.00 - 261,500.00 USD annually
184,900.00 - 250,200.00 USD annually
168,100.00 - 227,400.00 USD annually

Benefits

Sign-on payments
Restricted stock units (RSUs)
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
Parental leave

About the Company

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond.
We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace.
The Autonomous Campaigns team within Sponsored Products and Brands is focused on supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns.
Our vision is to build a highly personalized, context-aware agentic campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms.
This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser.
To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience.
Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.

Equal Opportunity

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.