Senior Level Agent Engineer Jobs

Senior level agent engineer jobs place experienced engineers in ownership of system architecture, technical roadmaps, and the cross-functional teams that deliver at scale. Roles are concentrated across Insurance, Technology & Software, and Media & Entertainment, with 75% remote or hybrid availability, and employers like GEICO, FINRA, and Klaviyo hiring at this level now.

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Overview

Open roles9
Top stateNew York
Top employerGEICO
Top cityNew York, NY
Work type50% Hybrid
Top industryInsurance

Showing 5 of 9+ Senior Level Agent Engineer jobs

AI Agent & Infrastructure - Lead Engineer
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Added 1mo ago
AI Agent & Infrastructure - Lead Engineer
FINRA
McLean, Virginia
Software Engineering
Cloud & DevOps
Data Science & Analytics
AI (Artificial Intelligence)
DevOps
$114k - $249k/yr
Hybrid
Bachelor's
1,001-5,000

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Senior Software Engineer, Customer Agent
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Added 5mo ago
Senior Software Engineer, Customer Agent
Klaviyo
Boston, Massachusetts
Customer Service & Support
Customer Support
Product Management
Technical Program Management
$148k - $222k/yr
1,001-5,000

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Software Engineer 5 – Agent Platform, AI Platform
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Added 5mo ago
Software Engineer 5 – Agent Platform, AI Platform
Netflix
Remote
Data Analytics
Data Engineering
Data Science
$466k - $750k/yr
Remote (US)
5,001-10,000

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Senior Staff Machine Learning Engineer, AI Agent Platform
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Added 6mo ago
Senior Staff Machine Learning Engineer, AI Agent Platform
GEICO
Seattle, Washington
Data Analytics
Data Science
$130k - $300k/yr
Bachelor's degree in engineering
10,000+

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Senior Staff Machine Learning Engineer, AI Agent Platform
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Added 6mo ago
Senior Staff Machine Learning Engineer, AI Agent Platform
GEICO
Palo Alto, California
AI (Artificial Intelligence)
Data Science
ML (Machine Learning)
$130k - $300k/yr
Bachelor's degree in engineering
10,000+

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Senior Level Agent Engineer Job Market

Who's Hiring

GEICO4 open roles
FINRA1 open role
Klaviyo1 open role

Top Industries Hiring

  • Insurance
  • Technology & Software
  • Media & Entertainment

Senior Level Agent Engineer Jobs: Frequently Asked Questions

How do I get a senior level agent engineer job?

Employers hiring at this level look for engineers who have owned end-to-end agent systems, not just contributed to them. Demonstrating that you have designed multi-agent architectures, led technical decisions under ambiguity, and mentored junior engineers gives you a clear edge. Strong candidates also show depth in LLM orchestration, tool use, evaluation frameworks, and production reliability at scale.

Which companies hire senior level agent engineers?

Companies hiring senior level agent engineers right now include GEICO, FINRA, and Klaviyo, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from technology firms, AI-focused startups, and enterprises building autonomous or copilot-style systems into their core products.

Are there remote senior level agent engineer jobs?

Yes, remote and hybrid options are common at this level. About 75% of senior level agent engineer openings are remote or hybrid as of November 2026, reflecting the distributed nature of AI and software engineering teams. Fully on-site roles do exist, typically at companies with sensitive infrastructure or close-collaboration research environments.

What makes an agent engineer role senior level?

A senior level agent engineer role is defined by ownership over architecture and outcomes, not just execution of assigned tasks. That means driving decisions on agent design patterns, evaluation pipelines, and production reliability, while mentoring mid-level and junior engineers. Senior roles also carry cross-functional responsibility, often requiring collaboration with product, data science, and platform teams to shape direction.

Which industries hire the most senior level agent engineers?

Senior level agent engineer roles concentrate in Insurance, Technology & Software, and Media & Entertainment, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they are actively building autonomous workflows, AI-assisted decision systems, and large-scale language model integrations that require experienced engineers to lead technical execution and manage complexity in production.