Principal Engineer, AWS Agentic AI

Amazon is hiring a Principal Engineer, AWS Agentic AI in Tel Aviv, Israel. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Replicate, PyTorch and TensorFlow.
Level classifies it as a lead role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Define and architect an AI-native platform leveraging autonomous agents and foundation models to automate enterprise cloud migrations.

ReplicatePyTorchTensorFlowAWSPythonLLMsInfrastructure As Code

prompt-engineeringai-agentsagentic-aimulti-agent-systemssystem-architecture

AWS Transform is building the next generation of Agentic AI services that autonomously
migrate the world's largest enterprises to the cloud. With approximately 7/8 of all enterprise
workloads still running on-premises, we are at the center of one of AWS's most significant
growth opportunities. We are looking for a Principal Engineer who lives at the frontier of AI,
someone who can envision and build autonomous agents that reason about complex
infrastructure, make intelligent decisions, and execute large-scale migrations with minimal
human intervention. This is a rare opportunity to define the architecture of an AI-native
platform from the ground up.

Key job responsibilities
Define and architect the technical vision for an Agentic AI migration platform, where autonomous agents discover, plan, and execute full data center exits

Design and build multi-agent systems that leverage foundation models, chain-of-thought reasoning, and tool-use patterns to solve complex migration challenges

Architect AI-powered network transformation capabilities, using generative models to analyze, replicate, and optimize enterprise network topologies

Provide technical leadership across 4 scrum teams, instilling an AI-first engineering culture and ensuring architectural coherence across agent frameworks

Drive innovation in agentic orchestration to continuously improve autonomy and accuracy for migration of servers, storage, networks, and applications

Mentor senior engineers on AI-native development practices and cultivate a culture of rapid experimentation, spec-driven engineering, and high velocity releases on Brownfield projects.

A day in the life
You'll start your day evaluating the latest agent performance metrics, reviewing how your autonomous migration agents handled workloads, and identifying where reasoning chains can be improved. Mid-morning, you'll dive into architecture reviews for new agent capabilities, perhaps a planner agent that uses LLMs to decompose complex migration dependencies, or a network transformation agent that analyzes discovered topologies and generates infrastructure-as-code. Afternoons bring cross-team collaboration with US-based Principal Engineers, aligning on foundation model selection, prompt engineering strategies, and the overall agentic platform roadmap. You'll close the day mentoring engineers on AI system design, reviewing experiment results, and sketching out novel approaches to unsolved migration problems.

Basic qualifications

10+ years of professional software development experience, with 3+ years focused on AI/ML systems

5+ years of designing and building large-scale distributed systems

Deep hands-on experience with large language models (LLMs), foundation models, or agentic AI frameworks

Experience designing multi-agent systems, autonomous orchestration engines, or AI-driven workflow platforms

Proficiency in Python, with experience in ML frameworks (PyTorch, TensorFlow, or similar)

Preferred qualifications

Experience with prompt engineering and chain-of-thought reasoning patterns

Track record of shipping AI-powered products or services at production scale

Experience leading technical strategy and architecture across multiple engineering teams

Familiarity with reinforcement learning, planning algorithms, or decision-making systems

Experience with AWS services, cloud-native architectures, and infrastructure-as-code

Strong demonstrated thought leadership in AI/ML

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.

How we rate this

Principal Engineer, AWS Agentic AI at Amazon rates 95 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Principal Engineer, AWS Agentic AI is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IL, Tel Aviv.
The job was posted on August 20, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI agentsAgentic AIMulti Agent SystemsSystem ArchitectureReplicatePyTorchTensorFlow

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where multi agent systems was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, AI agents, Agentic AI, Multi Agent Systems, and System Architecture. 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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