New: upload your resume and get matched to AI jobs. Free to start →

Senior AI Agent Engineer Jobs

AI agent engineers build systems where models act, not just answer: tool calling, planning, memory, and orchestrating several agents to finish a task end to end.

Senior roles take in senior, staff and principal positions: the people who own a system end to end, set technical direction and raise the bar for the team. Expect postings to ask for years of shipping software, and for AI work in production rather than only prototypes.

JPMorganChase, NVIDIA and Capital One have the most open roles here right now. Of these, 12% can be done remotely and 6 say the company sponsors visas. The skills these postings ask for most are Python, AI Agents, AWS and RAG.

Open roles
326
Typical salary
$197k - $274k
Median of 178 posted ranges. Salary guide
Newest role
12h ago

Hiring now

Skills these roles ask for

Latest senior AI Agent Engineer roles

Sr. Staff Engineer, Applied AI (Customer Agent)

2mo ago
K

Klaviyo

Klaviyo is seeking a Senior Staff Engineer to join the Customer Agent team in Boston. This team is building a cutting-edge conversational AI system designed to enable brands to serve their customers at an unprecedented scale. As a key member, you will be instrumental in shaping the technical and product direction of this 0-to-1 agentic product, operating with the agility of a startup within a large, innovative tech company. This role is for a principal-caliber individual contributor who has a proven track record of architecting, building, and scaling production agentic systems beyond the demo phase, acting as a force multiplier for the organization through strong technical judgment.

$216k - $324k

Boston, MA onsite Full-time

Sr. Lead Engineer, Applied AI (Customer Agent)

3mo ago
K

Klaviyo

Klaviyo is seeking a Senior Lead Engineer, Applied AI to join the Customer Agent team in Boston. This role is a principal-caliber individual contributor position focused on building a 0-to-1 agentic product. You will set the technical and product direction for the core platform, tackling complex challenges in orchestration, evaluation, guardrails, memory, and self-healing systems. The position involves writing and shipping code, making critical architectural decisions, and mentoring other engineers through design reviews. You will collaborate with product, design, and data science leaders to shape the roadmap and evaluate emerging AI technologies for production deployment.

$216k - $324k

Boston, MA onsite Full-time

Engineering Manager (Agent Engine)

12h ago
Perplexity AI

Perplexity AI

Perplexity is seeking an Engineering Manager to lead and grow its highly driven Agent Engine team. This team designs and builds powerful agentic experiences, including Perplexity Computer, the Comet ecosystem, and the Agent API. The role involves bringing AI expertise, sharp product intuition, and strong leadership skills to advance the frontier of what agents can accomplish for millions of users. The manager will lead, grow, and support the team in solving open problems in AI, such as designing agent harnesses, leveraging action and decision models, providing excellent cross-environment experiences, developing secure agentic capabilities, and optimizing data representations for agent-environment interactions.

$300k - $485k

San Francisco onsite Full-time
PythonTypeScriptGo +4 more

Staff Forward Deployed Applied Scientist (Agentic AI)

5mo ago
D

DigitalOcean

The Forward Deployed Engineering (FDE) team operates at the intersection of AI research, production deployment, and customer impact. As an Agentic AI Applied Scientist, you will embed directly with high-growth startups, tech innovators, and AI native enterprise partners. You will design, build, and deploy custom autonomous agent architectures running on DigitalOcean’s high-performance AI infrastructure. This role involves architecting production-ready agentic frameworks, directing customer integration, synthesizing research and deployment, and driving reliability and evaluation of AI systems.

$220k - $239k

Seattle +1 location hybrid Full-time
LangGraphPythonAI Agents +5 more

Senior Engineer, Local AI - Agents and Systems

1d ago
N

NVIDIA

Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.

$184k - $357k

US, CA, Santa Clara onsite Full-time
Meta LlamaLangChainPython +6 more

Manager, Data and AI Engineering

1d ago
N

NVIDIA

We are seeking a Manager of Data & AI Engineering to lead the development of our next-generation autonomous data intelligence platform for Supply Chain Operations. This role requires a blend of deep technical expertise, strong delivery leadership, and people management skills. You will be responsible for identifying high-impact opportunities, architecting, building, and productionizing solutions that deliver significant business value. The ideal candidate will have hands-on experience in architecture and engineering, coupled with the ability to manage a high-performing team and collaborate effectively with business stakeholders to translate operational challenges into innovative data and AI solutions.

$200k - $322k

US, CA, Santa Clara onsite Full-time
AWSPythonLLM +5 more

Sr Lead Software Engineer(AI, Data Cloud)

16h ago
J

JPMorganChase

As a Senior Lead Software Engineer within Corporate Technology – Chief Technology Office, you will serve as a senior individual contributor and technical leader on an agile team. Your role involves designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will drive critical technology solutions across multiple technical areas, translate firm-wide objectives into concrete technical designs, and elevate the engineering standard through strong architecture, high-quality delivery, and operational rigor. This position requires hands-on technical leadership, contributing production code, and owning end-to-end delivery from design through production operations.

Salary not listed

Plano, TX, United States onsite Full-time
AnthropicAWSPython +4 more

Staff AI & Agentic Platform Engineer

23d ago
Anduril Industries

Anduril Industries

Discovery is seeking an AI & Agentic Platform Engineer to join their expeditionary force. This role involves taking unproven concepts and building the analysis or prototype to test them, working on challenges across autonomy, sensor analysis, and battle space management. The team focuses on moving AI models from research into production, specifically onto classified platforms and edge hardware where reliability is paramount. Rigorous and repeatable evaluation of model performance is critical as the model portfolio and classified work expand.

$260k - $345k

Costa Mesa, California, United States; Washington, District of Columbia, United States onsite Full-time
PythonGoAI Agents +5 more

DevRel Engineer, Agentic Infrastructure

3mo ago
Vercel

Vercel

Vercel is seeking a DevRel Engineer to join their product teams focused on agentic infrastructure, including AI Gateway and Sandbox. In this role, you will work closely with product and engineering to build with these tools before their public release, showcasing their capabilities through various content formats. You will be instrumental in shaping the products by providing early feedback and ensuring a smooth developer experience. This position reports to the Head of AI Infrastructure and can be located anywhere.

$168k - $252k

Hybrid - San Francisco, New York City, Austin remote
OpenAITypeScriptNext.js

Software Engineer, Agents

23h ago
C

Captions

Mirage is an AI video company focused on making creation dramatically easier by building multimodal agents that turn creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our technology, including Captions (a creative workspace) and Tesseract (a video engine for AI agents), is now available more broadly through APIs. This role focuses on designing and building agentic systems that power creative workflows for short-form video, shaping how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. You will experiment with emerging models and techniques to bring these experiences to life in production, working across product, machine-learning, and systems engineering to own problems end-to-end and help define how our agents are built and deployed.

$175k - $300k

Union Square, New York City onsite Full-time
LLMRAGAI Agents +4 more

Lead Engineer, AI Platform

1d ago
C

Circle

Circle is seeking a Lead Engineer for its AI Quality engineering team. This team is responsible for building the infrastructure to measure, diagnose, and improve the quality of Circle's AI-powered features, focusing on production AI systems rather than ML research or model training. The role involves building evaluation frameworks, observability tooling, and diagnostic infrastructure to ensure AI Agents are working effectively, efficiently, and at scale. This is a hands-on player-coach position where you will also lead and manage the AI Quality engineering team, contributing to an ambitious roadmap.

$170k - $170k

Anywhere remote Full-time
PythonAI AgentsCI/CD +2 more

Software Engineer – AI Powered Engineering

1y ago
I

IMC Trading

IMC is integrating agentic AI directly into the developer workflow for its production-critical systems. As a member of the Agentic AI engineering team, you will help build agents, MCP servers, and evaluation loops to make AI-generated code reliable, auditable, and fast to ship. You will collaborate closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale, working with proprietary systems and algorithms that operate across global markets.

$180k - $225k

Chicago, United States onsite Full-time
PythonJavaAI Agents +1 more

Senior Manager, Agentic Analytics Platform Engineering

1mo ago
D

DigitalOcean

DigitalOcean is seeking a Senior Manager, Agentic Analytics Platform Engineering to lead a high-performing team and drive the next generation of their business intelligence infrastructure. This player-coach role will bridge complex data architecture with executive strategy, fostering data proficiency and governance across the organization. The position involves owning the strategic vision for AI-enabled analytics solutions, leading the design of semantic layers, and overseeing data modeling and BI infrastructure using tools like dbt. The role also includes managing and mentoring engineering professionals, and collaborating with stakeholders to translate business goals into technical frameworks, while ensuring the performance and reliability of data pipelines.

$192k - $240k

Seattle hybrid Full-time
SQLPostgreSQLNLP +2 more

Senior Software Engineer - AI & Agentic Architecture

28d ago
P

PlayStation Global

Sony Interactive Entertainment (SIE) is seeking a Senior Software Engineer to join their AI & Agentic Architecture team. This role is a senior individual contributor position focused on designing and shipping agentic systems, developer tooling, and reusable platform capabilities. You will leverage multiple agentic frameworks, SDKs, and APIs, providing technical leadership and collaborating closely with engineering, security, and product teams to improve productivity across SIE. The position involves hands-on engineering to build and operate production-quality agentic applications, design Model Context Protocol (MCP) interfaces, and engineer prompts for reliable structured output.

$177k - $266k

United States, Aliso Viejo, CA onsite Full-time
AnthropicKubernetesPython +5 more

Lead Product Data Scientist, Agents

1d ago
K

Klaviyo

Klaviyo is seeking a Lead Product Data Scientist, Agents to spearhead the measurement and data science strategy for their AI-powered agent products, Composer and Customer Agent. This high-visibility, hands-on technical leadership role involves defining how to measure the adoption, engagement, quality, cost, and business impact of these AI agents. You will establish the analytical foundations to understand customer value, tackle emerging measurement challenges, and develop rigorous approaches to evaluating agent performance. The role requires combining experimentation, causal inference, and advanced analytics to inform product strategy, pricing, and monetization, translating complex findings into actionable recommendations. You will also mentor other data scientists and define the technical direction for agent analytics at Klaviyo.

$172k - $258k

Boston, MA onsite Full-time
PythonAI AgentsSQL +1 more

Lead Principal Engineer, Enterprise Agentic AI Platform

1d ago
N

NVIDIA

NVIDIA IT's Enterprise AI & Automation team is seeking a Principal or Distinguished Engineer to architect and build enterprise-grade agentic AI systems. This role involves hands-on coding in Python and/or Go to develop production AI agents that securely integrate with enterprise systems, enhancing employee efficiency and business outcomes across various departments. The ideal candidate will be a technical leader who can translate new agent development patterns into scalable platform capabilities, define NVIDIA's enterprise agent architecture through practical implementations, and drive the full agent development lifecycle from creation to continuous enhancement. This position is for a deeply involved technical leader who writes code daily and thrives in ambiguous environments, rapidly moving from concepts to operational systems. You will invent systems incorporating persistent memory, controlled runtimes, strict assessment, and GPU-powered performance to ensure agents are intelligent, trackable, protected, and production-ready.

$272k - $431k

US, CA, Santa Clara onsite Full-time
AnthropicLangGraphLangChain +8 more

AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate

19h ago
J

JPMorganChase

This is a unique opportunity to help shape the future of our Private Bank by creating an Agentic Private Bank. This initiative aims to reimagine the entire process, rethink the operating model, and develop AI agents equipped with the latest tools and technologies to fundamentally reshape how business is performed. As an AI ML Engineer within the team, you will collaborate with various business lines and functions to deliver software solutions. You will have the chance to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to achieve significant business impact. Additionally, you will design and implement highly scalable and reliable data processing pipelines and perform analysis to optimize business results.

Salary not listed

Jersey City, NJ, United States onsite Full-time
AWSAzurePython +5 more

Staff Software Engineer, Developer Experience

6mo ago
CoreWeave

CoreWeave

CoreWeave is seeking a Staff Software Engineer for the Developer Experience (DevEx) team. This team is responsible for the platform, services, and systems that empower all engineers at CoreWeave to build and ship software efficiently and reliably. The scope includes CI/build infrastructure, testing, delivery systems, artifact management, internal developer platforms, and AI tooling. This role is for a technical leader who will define the technical strategy for DevEx, address complex developer productivity challenges, and shape the future of the agentic developer platform.

$188k - $275k

Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA onsite Full-time
KubernetesPythonGo +2 more

Director of Research, Agentic AI

1mo ago
D

DigitalOcean

DigitalOcean is building the Agentic Inference Cloud, a platform designed to help AI-native companies scale and optimize agentic workloads. The Applied Research team is central to this effort, generating proprietary science that enhances the platform's capabilities in areas like adaptive routing, memory, observability, and reinforcement learning. We are seeking a Director of Research to lead this function, setting the research agenda, growing the team, and ensuring that scientific advancements translate into tangible product improvements, such as better model selection, more reliable agents, and reduced costs and latency for users.

$250k - $312k

Seattle hybrid Full-time
Reinforcement LearningRLHFModel Serving

Staff Engineer, Applied AI (Customer Agent)

1mo ago
K

Klaviyo

Klaviyo is seeking a Staff Engineer to join the Customer Agent team, a new and ambitious group focused on building a conversational AI system for brands to serve their customers at scale. This role is based in Boston and requires an in-office presence. You will be instrumental in setting the technical and product direction for a core area of the Customer Agent product, taking ownership of complex, ambiguous problems from conception to production. The team operates with the speed and ownership of a startup, backed by the resources of a leading tech company, and emphasizes shipping production-ready AI systems that make real judgment calls. You will be hands-on, contributing to architecture, writing code, and mentoring other engineers through design reviews, while partnering with product, design, and data science leaders to shape the future of the platform.

$176k - $264k

Boston, MA onsite Full-time

Principal Software Engineer — Agentic AI Applications and Foundations

1d ago
N

NVIDIA

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Our Enterprise AI team builds intelligent AI agents that transform how NVIDIA operates — from smart personal assistants and engineering-productivity tools to data-driven analytics and supply-chain optimization. These agents are live, in production, and used across the company. Now we need a principal-level, hands-on engineering leader to make them bulletproof and to architect the next generation of agent infrastructure. This is not a research role. This is a role for someone who obsesses over reliability, polish, and user trust — and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale. What you'll be doing: - Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products. - Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use. - Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes. - Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration. - Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings. - Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned. - Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance. - Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations. What we need to see: - BS, MS, or equivalent experience in Computer Science or a related field. - 15+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack. - Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management. - Solid experience building modern applications across frontend, backend, and platform layers. This may include technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure. - Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response. - Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products. - Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows. You do not need to be a research scientist, but you should know how to build reliable, production-grade systems around AI. - Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on. Ways to stand out from the crowd: - Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution. - A track record of improving engineering velocity and consistency through common frameworks, platform services, design patterns, and developer tooling. - Experience building reusable infrastructure for AI products, such as orchestration layers, memory/context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls. - Familiarity with identity, discovery, trust, reputation, or graph-based systems relevant to large-scale agent collaboration. - Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Salary not listed

US, CA, Santa Clara onsite Full-time
PythonTypeScriptJavaScript +5 more

Director of Software Engineering - Agentic Architecture & Protocol Standards

20h ago
J

JPMorganChase

As a Director of Software Engineering at JPMorganChase, you will lead a technical area and drive impact across teams, technologies, and projects. You will utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives. This role involves serving as a primary decision-maker for your teams and a driver of innovation and solution delivery, focusing on agentic architecture and protocol standards.

Salary not listed

Plano, TX, United States onsite Full-time

Senior Systems Engineer, Enterprise AI Platforms

1mo ago
CoreWeave

CoreWeave

CoreWeave is seeking a Senior AI Platform Engineer to lead the design, implementation, and governance of AI tools for employees. This role involves owning the AI tools used daily across various platforms, ensuring their safe adoption through integrated identity, device, and tenant-level controls. The ideal candidate is passionate about AI's bleeding edge, enjoys rapid learning, and has a strong background in production software/SRE engineering, hands-on LLM/agent work, and enterprise IT controls. Success in the first year means enabling employees with frontier AI capabilities quickly and securely, establishing a robust AI operating framework, and building foundational controls for AI tool adoption.

$182k - $242k

Sunnyvale, CA / Bellevue, WA onsite Full-time
AnthropicGoogle GeminiPython +6 more

Staff AI Architect

2mo ago
D

DigitalOcean

DigitalOcean is seeking an AI Architect to define the technical vision for how the company operates as an AI-native business. This role will own the architecture for agentic systems and the enterprise architecture they integrate with, enabling any team to deploy governed agents into business workflows quickly and safely. You will be responsible for the end-to-end architecture, including how agents are built and run, their interaction with models and enterprise systems, long-running work orchestration, and the implementation of identity, audit, and observability. This is a hands-on role involving coding, prototyping, and setting technical standards across distributed teams.

$191k - $239k

Boston hybrid Full-time
OpenAIAnthropicLangGraph +5 more

Questions about senior AI Agent Engineer jobs

How many senior AI Agent Engineer jobs are open?
There are 326 open senior AI Agent Engineer jobs on AiRagJobs right now, the newest posted 12h ago. New roles are added every day.
How much do senior AI Agent Engineer jobs pay?
The median posted salary range is $197k–$274k, from 178 jobs here that list pay. That's base salary; equity and bonuses aren't included. See the full salary guide
Which companies are hiring for senior AI Agent Engineer jobs?
JPMorganChase, NVIDIA, Capital One, Databricks and Moveworks have the most open roles right now.
What skills do senior AI Agent Engineer jobs ask for?
The skills these postings ask for most are Python, AI Agents, AWS, RAG and Kubernetes. At this level, postings look for having shipped them in production, not just used them.