Senior Software Development Engineer, Sponsored Products Autonomous Campaigns

Amazon; Palo Alto (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Amazon is seeking a Senior Software Development Engineer to own the infrastructure, platform, and production systems underpinning Sponsored Products Autonomous Campaigns. You will design, build, and scale core services for agent orchestration, evaluation pipelines, model serving, and monitoring, collaborating with scientists and engineers to translate prototypes into reliable production systems.

You will drive architecture decisions, end‑to‑end delivery, and ensure low latency, fault tolerance,

Qualifications

• 5+ years of non‑internship professional software development experience.
• 5+ years of programming experience in at least one language.
• 5+ years of leading design or architecture of systems.
• Experience as a mentor, tech lead or leading an engineering team.
• Experience with AI/ML technologies.

Responsibilities

• Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns.
• Design and implement scalable architecture for agent orchestration and state management.
• Build scalable data and tool registry.
• Construct evaluation pipelines to assess agent reasoning, performance, and safety.
• Integrate tuning pipelines and provide abstractions for scientists to plug in models.
• Implement observability, logging, metrics, alerting, tracing, and drift detection.
• Ensure resilience, auto-scaling, batching, caching, and SLA compliance.
• Prototype new designs and patterns for streaming inference and reasoning chains.
• Collaborate in design reviews and cross-team architecture alignment.

Skills

Software development

AI/ML technologies

Leadership/mentoring

Education

Bachelor's degree in Computer Science

Job description

Description

We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic autonomous campaigns. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams—science, product, operations—to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities.

Key job responsibilities

• Lead engineering strategy and roadmap for Sponsored Products Autonomous Campaigns
• Design and implement scalable architecture to host 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.

About The Team

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. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

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. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in auto campaign systems can have outsized impact on advertiser success and Amazon’s retail ecosystem.

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.

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
• Experience with AI/ML technologies

Preferred Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually

USA, NY, New York - 184,900.00 - 250,200.00 USD annually

USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10557755