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Amazon

Sofware Development Manager, Ring Agent Platforms

Amazon is hiring a Sofware Development Manager, Ring Agent Platforms. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions Bedrock, Python and LLMs among its tools and skills.
  • Level classes it as a lead role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Software Development Manager leading a team building a multi-agent AI platform for autonomous workflows and enterprise task orchestration.

bedrockpythonllms
ragai-agentsai-automationai-safetyengineering-managementmulti-agent-systemsdistributed-systemsapis
We are looking for a Manager of Software Development to lead a team of engineers building a multi-agent AI platform. This platform enables organizations to design, compose, and deploy autonomous AI agents that collaborate with each other and with humans to execute complex workflows — from code generation and analysis to decision-making and task orchestration across enterprise systems.
The work sits at the frontier of agentic AI: multi-agent coordination, tool use and function calling, retrieval-augmented generation, conversational interfaces, and scalable job execution. The underlying architecture is cloud-native and polyglot, spanning real-time APIs, event-driven compute, analytics pipelines, and integrations with large language models. The platform is built to be modular — agents are composed from reusable skills and tooling, making it possible for teams across the organization to create, share, and evolve intelligent automation without starting from scratch.
As the engineering manager, you will own the delivery of this platform, build and mentor a high-performing team of software developers, and collaborate with product and engineering partners to push the boundaries of what multi-agent systems can do in production. This is a role for someone who is energized by the rapid evolution of AI, comfortable navigating ambiguity, and driven to ship systems that meaningfully change how people work.

About the team
The Agent Platform Organization spans data engineering, business intelligence, applied science, and agentic AI. The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health.

Basic qualifications

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

Preferred qualifications

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Familiarity with at least one agentic AI development IDE
- Familiarity with Strands Agents, Amazon Bedrock, and Bedrock AgentCore
- Understanding of multi-agent patterns (swarm, graph, workflow) and the A2A protocol
- Familiarity with evaluation of LLMs and AI agents
- Knowledge of responsible AI practices and the use of guardrails
- Familiarity with observability and debugging within AI platforms

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, Hawthorne - 184,900.00 - 250,200.00 USD annually

How we rate this

Sofware Development Manager, Ring Agent Platforms at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI AutomationAI SafetyEngineering ManagementMulti Agent SystemsDistributed SystemsAPIs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a workflow you automated with AI tools, end to end.
  4. How do you think about the risk of an AI system in this kind of role failing silently?
  5. Tell me about a project where engineering management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Automation, AI Safety, and Engineering Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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