The Sponsored Products and Brands team at Amazon Ads is re-imagining the
advertising landscape through cutting-edge 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.
Key job responsibilities
• Design and develop a state-of-the-art Agentic service platform using Gen AI/ML
technologies that provide consistent, well-reasoned outcomes for advertiser
guidance in a secure & reusable architecture, delivering low latency and secure
advertiser experiences
• Optimizing for operation costs at scale through efficient resource
utilization, token consumption and memory footprint at scale.
• Collaborate with cross-functional teams to integrate AI-driven solutions
across our advertising ecosystem
• Pioneer new approaches to conversational AI and natural language interactions
in advertising
• Shape the future of how businesses connect with customers through AI-powered
advertising
• Create scalable systems that process millions of data points to deliver
hyper-personalized ad experiences
What we're looking for:
• Passionate about Generative AI, Large Language Models, and their real-world
applications
• Strong software engineering skills with experience in distributed systems and
cloud technologies
• Creative problem-solver who thrives in ambiguity and loves tackling complex
challenges
• Track record of delivering innovative solutions that drive business impact
• Enthusiasm for staying current with the rapidly evolving AI landscape
A day in the life
As a Software Development Engineer on the Sponsored Products and Brands Agentic
Guidance Integrations (SPB-AGI) team, you will architect and build the
next-generation AI platform that will power personalization and intelligent
advertising experiences for millions of merchants and brands worldwide. You are:
• Highly analytical: You solve problems in ways that can be backed up with
verifiable data. You focus on driving processes, tools, and statistical methods
which support rational decision-making.
• Team obsessed: You help the team achieve outstanding results. You foster the
creative atmosphere to let engineers innovate, while holding them accountable
for making smart decisions and delivering results.
• Humbitious: You’re ambitious, yet humble. You recognize that there’s always
opportunity for improvement and use introspection and feedback from teammates
and peers to raise the bar for your team.
• Engaged by ambiguity: You're able to explore new problem spaces with unique
constraints and thus non-obvious solutions; you’re quick to identify any gaps in
the team and the right person to fill them to best deliver value to customers
• Passionate for staying current with the latest developments in AI technologies
and applying those insights to real-world product challenges
About the team
We're looking for a brilliant Software Development Engineer to spearhead our
Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team. The
team owns the foundational infrastructure for SPB agentic experiences, providing
a unified entry point for internal and external agentic applications. We design
and maintain scalable APIs and orchestration layers that allow agents to
reliably connect with first-party and partner systems. Our responsibilities
include building durable agent-to-agent communication protocols for discovery,
negotiation, and task handoff; lifecycle management for agent sessions; and
state management frameworks that allow agents to persist context across
multi-step workflows. The team delivers streaming and event-driven integration
pipelines to support real-time customizations and integrations with 1P
experiences. We also own the infrastructure governance layers including
standardized access-control frameworks, data masking and retention policies,
rate-limiting, audit logging, and safety guardrails that ensure predictable,
compliant agent behavior across environments. To support scale, the team invests
in observability platforms for debugging agent-to-agent and agent-to-service
interactions, performance optimization of orchestration layers, and
telemetry-driven insights. We also extend the platform to external developers
and partners by exposing systems safely to empower partners to create new
agentic experiences while inheriting all governance, security, and scaling
guarantees of the platform. These agentic experiences include personalized
insights, guidance, holistically accounting for an advertiser's product catalog,
performance metrics, and other relevant signals. Examples of surfaces that will
leverage the SPB Agent include but not limited to: 1) Personalization for an
advertiser's experience throughout the Advertiser Console where the SPB Agent
will utilize advertiser and page level context to determine how to tailor a full
page experience to an advertiser, updating individual widgets with
recommendations or filtering capabilities that are most applicable, 2) an AI
companion in Next Gen Selling, Seller Central or Seller Assistant that provides
a personalized, interactive and automated experience where Selling Partners
receive data-backed guidance for growing their business, making autonomous
decisions and executing actions on behalf of sellers and 3) AI for Sales pitches
that are optimized through the SPB Agent insights.
Why join us?
• Be part of a team that's defining the future of AI in advertising
• Work on projects with massive scale and impact, reaching millions of
businesses and consumers
• Collaborate with world-class AI researchers and engineers
• Access to cutting-edge AI technologies and resources
Basic Qualifications: - 3+ years of non-internship professional software
development experience
- 2+ years of non-internship design or architecture (design patterns,
reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications: - 3+ 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
- Proven experience shipping Gen AI-powered features at scale from pilot to
production and a deep understanding of AI trust and safety considerations
Amazon is an equal opportunity employer and does not discriminate on the basis
of protected veteran status, disability, or other legally protected status.
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.
