Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $174,000 |
| Median | $197,000 |
| 75th percentile | $224,000 |
| Lowest listing | $111,000 |
| Highest listing | $357,000 |
| Listings counted | 90 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 80 | $201,000 | $170,000 to $225,000 |
Architect Agentic Automation: Compose, build, and deploy foundational agentic automation loops that streamline workflows spanning safety evaluations, red-teaming, model testing, model post-training and ablations.
As a member of this team, you will help shape a new way for people to interact with their PCs and connected devices through local AI.
Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.
Develop infrastructure software and tools for large-scale pre-training, post-training, and inference. Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency. Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms. Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
Anduril Industries · 1mo ago
We give engineers, researchers, and product teams across the company a place to deploy fast, scalable infrastructure without having to become infrastructure experts themselves.
We are seeking a highly motivated and experienced Software Engineer to be a part of a dynamic team focused on developing cutting-edge customer-facing AI Developer products.
Architect and scale intelligent failure triaging and automated Root Cause Analysis (RCA) frameworks capable of processing petabyte-scale simulation and real-world vehicle logs.
Design, develop, deploy, and optimize high-performance, scalable Generative AI frameworks for on-premise and cloud environments. Architect secure workflows for end-to-end document processing, including ingestion, classification, retrieval, and automated fine-tuning pipelines.
Agentic Application Architecture: Design, build, and optimize scalable systems and orchestration pipelines capable of multi-step reasoning, dynamic memory allocation, long-context evaluation, and high-fidelity tool utilization.
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting. Manage Linux job/workload schedules and orchestration tools. Develop and maintain continuous integration and delivery pipelines.
Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale.
Esri’s Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform.
We are looking for a Senior AI System Architect to shape the end-to-end architecture for agentic AI software on HP PCs.
Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem.
Defense Unicorns is seeking a Senior Software Engineer to join our Ark team, building an AI-native software development product that helps Mission Heroes create, package, and deliver secure applications into mission environments.
Censys is seeking a Senior Software Engineer to join our SOC/TH team focused on AI and LLMs .
This is a hands-on role with three parts: building automations and AI workflows, running our company AI tools, and advising on where AI goes next at Rex Moore.
This is a hands-on role with three parts: building automations and AI workflows, running our company AI tools, and advising on where AI goes next at Rex Moore.
Use and develop AI-powered tools to make software testing smarter, faster, and more effective! Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
The Hartford Financial Services Group · 5d ago
The Senior AI Engineer will architect, build, and operationalize advanced AI and multi-agent solutions leveraging RAG , GraphRAG , Agentic AI frameworks , and enterprise‑grade cloud engineering.
Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure. Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
Design and scale observability platforms handling high-volume metrics, logs, and traces across distributed environments. Build high-performance backend services for telemetry ingestion, processing, and routing.
Designing and developing groundbreaking techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.
Architecting an AI-native framework: Help design and build a codebase and architecture that scales beyond human capacity, supporting large numbers of AI agents working in parallel to generate, test, and validate production-grade software.
As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.
Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity. Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling.
Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with customers during planning calls through implementation.
Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
We are looking for a Senior AI Engineer, Generative AI & ML Engineering for the Operational Intelligence Program within B&MI.
We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
We are looking for a Senior AI Systems Engineer with deep C++ expertise to help build the next generation of AI-enabled product and platform capabilities. This role sits at the intersection of large-scale systems engineering, applied AI, and production software architecture.
TalentFish is casting a line for a Senior Data and AI Engineer This is a direct hire role in Downtown Chicago with are premier client in the manufacturing industry – our client is a high growth progressive organization – best place to work – dynamic leadership team – employee…
Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders.
The Mercury Mobile team builds Zillow Instant Messaging (ZIM) — the conversation layer where millions of movers participate in a multiplayer, integrated experience to find their next home.
You will work closely with the Technical Program Managers (TPMs) and Data Scientists (DSs), as the technical experts for Phaidra's customers. Your role is to use Phaidra's platform and tools to put AI into production.
CGI is seeking a Senior Full Stack GenAI Engineer with 8+ years of software engineering experience, including 3+ years delivering enterprise GenAI applications, to build AI agents and applications that automate business processes in an AWS based financial services environment.
We are looking for a Senior Enterprise Platforms & AI Systems Engineer to join our team. This is a hybrid role in San Jose, CA or Remote in Denver, CO, reporting to the Collaboration Solutions Manager in the IT Digital Employee Experience department.
The median Senior AI Engineer salary in our $100k+ listings is $197,000 a year, based on 90 live USD listings. The middle half of listings pays $174,000 to $224,000. These figures cover only listings that publish a salary of $100k+ or more, so they sit above pay for Senior AI Engineer roles overall.
Individual $100k+ Senior AI Engineer listings range from $111,000 to $357,000 a year. The 25th percentile of listing midpoints is $174,000 and the 75th percentile is $224,000.
The companies with the most open $100k+ Senior AI Engineer listings are NVIDIA (24 listings, median $197,000), Samsara (6 listings, median $184,000), SpaceX (4 listings, median $285,000), Drata (4 listings, median $226,000) and ClickUp (3 listings, median $225,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 13, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
New York, Belgium
Canada
