Sr Software Development Engineer, Agent Platforms & Services

Amazon Inc.; Seattle (WA); On-site; USD 180,000 - 280,000; Full time

Job summary

Amazon Ads is building a scalable platform to orchestrate AI agents across large-scale advertising workflows. The role owns the architecture for agent orchestration, feeds expert feedback into learning loops, and secures access across the platform.

You will partner with Applied Scientists and product teams to shape advertiser experiences and define scalable engineering practices. The team operates in a greenfield environment, delivering end-to-end reliability and performance at scale, while

Qualifications

• System design and architecture experience
• Distributed systems and scalable infrastructure
• Experience with ML and reinforcement learning from human feedback (RLHF)
• Security, identity, and access control design
• Strong observability, monitoring, and reliability focus
• Mentor/lead engineers and drive reviews with stakeholders
• Experience partnering with product and science teams for advertiser platforms
• Ability to work in ambiguity on greenfield projects

Responsibilities

• Own the architectural direction for orchestration systems coordinating AI sub-agents
• Design identity, authorization, and permission frameworks for secure access
• Design feedback pipelines capturing expert judgment for model improvement
• Partner with Applied Scientists to integrate RLHF into production systems
• Design and operate end-to-end evaluation systems for quality and regressions
• Establish partnerships with cross-functional teams and define integration contracts
• Own system reliability, observability, and performance for always-on agent infrastructure
• Mentor engineers, lead design reviews, and promote engineering best practices

Skills

System design

Distributed systems

Machine learning

RLHF

Security and identity

Observability

Mentoring / leadership

Cross-functional collaboration

Advertising tech experience

Job description

Define how AI agents operate in one of the world's largest advertising ecosystems — owning the architecture for agent orchestration, reinforcement learning from expert feedback, trust and permission systems, and scalable inference infrastructure that powers intelligent advertising decisions across Amazon Ads. This is a greenfield opportunity to give every advertiser, regardless of size or sophistication, access to the caliber of strategic campaign management previously available only through dedicated agencies.

Our team is developing an agent platform that coordinates multiple specialized AI sub-agents to execute complex, multi-step advertising workflows. You'll own the architectural direction for these systems, partner with Applied Scientists on learning systems, drive technical strategy with product teams on advertiser experience, and build the identity and authorization frameworks that keep it all secure. This is a small, high-ownership team where you'll shape how AI transforms advertising from the ground floor — influencing technical direction beyond your own team and establishing the engineering practices that scale as the platform grows.

Key job responsibilities

• Own the architectural direction for orchestration systems that coordinate multiple specialized AI sub-agents to execute complex, multi-step advertising workflows
• Design and build identity, authorization, and permission frameworks that enforce scoped access for diverse caller types — making foundational technical decisions that shape the platform long-term
• Design feedback signal pipelines that capture expert judgment and route it into model improvement loops
• Partner with Applied Scientists to integrate reinforcement learning from human expert feedback into production agent systems, driving the technical strategy for how learning systems evolve
• Design and operate end-to-end evaluation systems that measure recommendation quality, detect regressions, and enforce quality gates
• Establish and drive technical partnerships with cross-functional teams (product, science, partner engineering) to define integration contracts and onboard new consumers to the platform, influencing their technical direction
• Own system reliability, observability, and performance for always-on agent infrastructure serving thousands of concurrent advertiser accounts
• Mentor engineers, lead design reviews, and drive adoption of engineering best practices across the team

A day in the life

You might start the morning reviewing eval results from a newly onboarded agent skill, diagnosing why routing accuracy dropped 2%. By mid-morning, you're pairing with an Applied Scientist to tune the feedback pipeline that captures expert signals. After lunch, you're designing the permission model for a new integration. You end the day shipping an observability improvement that surfaces latency bottlenecks across the orchestration chain. Every day is different, but the thread is the same: making AI agents smarter, safer, and more reliable at scale.

About the team

We're a small, high-ownership team within Amazon Ads building the platform that makes AI agents accessible across the advertising ecosystem. Our charter is greenfield: we're defining how agent intelligence gets exposed to other engineering teams. We work closely with Applied Scientists on learning systems, product teams on advertiser experience, and platform teams on shared infrastructure. The team values builders who ship fast, think in systems, and are comfortable operating in ambiguity. If you want to shape how AI transforms advertising from the ground floor, this is the team.