Top 10 Companies Hiring AI Engineers in Raleigh, NC in 2026

Table of Contents

• Discover Raleigh's AI Job Landscape
• Bandwidth
• MetLife
• LexisNexis
• Epic Games
• Fidelity Investments
• Pendo
• Lenovo
• SAS Institute
• Cisco Systems
• Red Hat
• Your AI Career Trailhead
• Frequently Asked Questions

Bandwidth

Positioned at number ten, Bandwidth represents a critical but often overlooked path in the AI landscape: the infrastructure layer. As a homegrown Raleigh success, their communications platform is foundational for the next wave of generative AI voice agents that can talk and listen over global networks. Engineers here build the pipes, not the water, solving hard problems of latency and reliability for AI-human communication.

The tech stack involves Python, Go, and Java to create real-time speech-to-text optimization and automated messaging moderation systems. This work is less about crafting chatbot personalities and more about engineering robust, scalable platforms for agentic AI, making it ideal for those fascinated by telecommunications and real-time systems.

The culture reflects a mature scale-up focused on mission-critical infrastructure, offering a niche that's becoming universally essential. For senior engineers building these AI agent systems, estimated salaries in Raleigh range from $150,000 to $195,000, which is competitive within the local scale-up market and aligns with broader regional growth for specialized AI roles.

MetLife

At its substantial Cary campus, MetLife represents the path of applying AI to transform a legacy industry. For engineers interested in models that drive tangible business outcomes at a global scale, this insurance giant offers a prime destination where machine learning modernizes everything from underwriting to claims.

Teams leverage Azure Machine Learning, Databricks, and Power BI to build predictive models and automate processes like assessing car damage from photos with computer vision. The work bridges cutting-edge tech and established business domains, requiring collaboration with actuaries and compliance experts to productionize AI in a highly regulated environment.

This focus on practical, high-stakes application aligns with broader trends where, as noted by local economists, AI uniquely replaces "cognitive ability" in professional fields. Salaries for senior AI/ML engineers at MetLife's Cary hub are projected in the $145,000 to $190,000 range, aligning with the area's strong financial tech sector and reflecting the value of domain-specific AI expertise according to local salary data.

LexisNexis

Securing the eighth spot, LexisNexis offers AI engineers in Raleigh access to one of the planet's most valuable and complex datasets: the entire corpus of legal and news information. This isn't about building general chatbots but creating precision tools for experts, where a mistake in a legal citation can have real consequences.

The work centers on advanced NLP for legal research and automated document summarization, requiring tech stacks with Python, PyTorch, and massive Spark clusters to process unstructured data lakes. As highlighted in expert reviews of Raleigh AI companies, this environment values deep domain expertise in legal tech and governance as much as algorithmic prowess, focusing on interpretable and precise models.

For senior and principal engineers who specialize in this high-stakes information extraction, the Raleigh hub provides a unique data asset that major tech giants envy. Compensation rewards this deep specialization, with salaries for these consulting and principal roles capable of reaching $160,000 to $220,000+, making it a premier destination for NLP experts in the Triangle.

Epic Games

Holding the seventh position, Cary-based Epic Games represents where AI engineering meets boundless creativity in real-time 3D environments. This is far beyond traditional game NPCs; it's about building intelligent systems that enhance creation, discovery, and immersion for millions within the Unreal Engine ecosystem and the Epic Games Store.

Engineers tackle unique challenges involving real-time performance and 3D geometry, working with C++, Python, and Unreal Engine's native tooling to develop computer vision for next-gen motion capture and sophisticated gameplay AI. The culture is built by and for passionate creators, requiring intense collaboration with artists and designers in a meritocracy focused on shipping unforgettable experiences.

As a crown jewel of the Triangle's creative tech scene, Epic draws from the region's strong engineering and graphics talent pools. The interview process is famously rigorous, reflecting the premium on this specialized skill set. Compensation is highly competitive, with software engineers in game AI roles at the Cary campus earning between $141,941 and $245,000, as reported by industry salary trackers.

Fidelity Investments

At Fidelity's Durham/Raleigh campus, AI engineering carries a unique weight: the models you build must be safe, explainable, and robust enough to help guide trillions of dollars in client assets. This is high-stakes applied machine learning where the tolerance for error is near-zero, and success requires blending financial rigor with tech innovation.

Teams use AWS SageMaker, Snowflake, and Python/Java to create personalized financial recommendation engines and AI-driven fraud detection systems that process millions of transactions daily. This environment exemplifies the shift economist Michael Walden noted, where AI replaces "cognitive ability" in fields like financial analysis, requiring engineers to learn as much about portfolio theory and compliance as MLOps.

Fidelity offers the scale and impact of a Wall Street firm with the quality of life of the Triangle. Salaries reflect this high-stakes, regulated domain, with Senior Machine Learning Engineers earning $183,799 to $212,442, as reported by Glassdoor salary data. This makes it one of the highest-paying non-pure-play tech employers in the region, underscoring the value placed on trustworthy, production-scale AI.

Pendo

Ranked fifth, Raleigh's own Pendo embodies the city's growing SaaS prowess, using AI to turn billions of user interactions into actionable product intelligence. As a homegrown unicorn, it offers AI engineers a front-row seat to building systems that directly shape software products, moving beyond dashboards to deliver automated, contextual guidance.

The focus is on leveraging Large Language Models and NLP for customer sentiment analysis and creating in-app recommendation systems. The modern, cloud-native stack utilizes Python, Go, and GCP, operating within what experts describe as a collaborative environment "where data and domain experts build AI into daily operations" at top Raleigh tech firms.

This product-driven engineering culture requires close work with PMs and designers, emphasizing "agentic" insights that automate decision-making. The growth potential is significant at this Raleigh-born leader, with Staff Engineer levels reaching $198,000 to $288,000, a testament to the high-value AI product roles developing in downtown Raleigh and highlighted in local job market data. Pendo's trajectory showcases how the Research Triangle nurtures companies that compete on the national stage while rooted in local talent.

Lenovo

Headquartered in Morrisville, Lenovo provides a unique vantage point in the AI landscape: bridging the divide between massive cloud infrastructure and the hardware-constrained edge. This is a full-stack AI challenge, where engineers build and optimize the intelligence that runs on the world's devices and servers, from smart PCs to hyperscale data centers.

The work involves Python and HPC clusters to tackle problems like computer vision for smart manufacturing and deploying efficient, quantized models directly onto Lenovo hardware. This requires deep collaboration with hardware engineers, focusing on model optimization and reliable deployment in resource-constrained environments - a specialty highlighted in roles for AI Agentic/Platform Engineers within the region's tech ecosystem.

As a Fortune 500 global anchor in the Triangle, Lenovo offers the stability of an established corporation with the technical depth of a hardware innovator. This position at the silicon-software intersection is crucial as AI becomes more pervasive. Senior AI Engineer salaries at the Morrisville headquarters reflect this specialized, cross-disciplinary demand, ranging from $143,380 to $206,778, according to Indeed's compiled salary data for the company.

SAS Institute

Occupying the third position, Cary-based SAS Institute represents the mature, enterprise-grade end of the AI spectrum. With a legacy spanning over four decades in analytics, SAS in 2026 focuses on trustworthy Generative AI and robust MLOps for the world's most regulated industries, from healthcare and finance to government.

While renowned for its proprietary SAS Viya platform, modern roles heavily utilize Python, R, and cloud-native tools for projects in enterprise fraud detection and synthetic data generation. The technical culture places an uncompromising emphasis on statistical rigor, model governance, and explainability, expecting engineers to understand the "why" behind every algorithm deployed in high-stakes environments.

SAS is a bedrock of the Triangle community, famous for its exceptional company culture, beautiful campus, and top-ranked benefits that prioritize work-life balance. This commitment is reflected in its consistent ranking among the best workplaces in Raleigh-Durham. For Machine Learning Engineers, average salaries are around $136,672, with senior roles reaching $160,000 to $210,000+, offering a compelling total rewards package that blends competitive pay with legendary quality of life, as detailed on industry compensation sites.

Cisco Systems

Securing the second spot, Cisco's massive Research Triangle Park campus has evolved from a networking hardware hub to a center for pioneering Agentic AI - building the secure "nervous system" for enterprise intelligence. Here, engineers move beyond chatbots to create autonomous systems that can safely access knowledge and execute complex workflows, a frontier detailed in Cisco's own AI platform engineering roles.

The tech stack involves Python, Go, and Kubernetes running on top of NVIDIA DGX clusters to develop Model Context Protocol (MCP) servers and AI-driven platforms for network security and automation. This work represents deep system design for distributed, secure AI platforms, requiring expertise that blends traditional networking with cutting-edge ML theory and infrastructure.

As one of RTP's largest employers, Cisco provides immense career runway, resources, and stability. The interview process reflects the technical depth required, testing everything from data structures to Kubernetes-based AI infrastructure design. Compensation is firmly top-tier, with machine learning roles often ranging from $190,000 to $300,000+, cementing its status as a premier destination for senior AI talent in the Triangle, as seen in aggregated job market data.

Red Hat

Topping our list, Red Hat - the open-source champion under IBM - powers the foundational ecosystem from its Raleigh and RTP headquarters. Engineers here aren't just building AI applications; they're engineering the cloud-native platforms, like Red Hat OpenShift AI, that global enterprises use to build and deploy their own solutions. You're building the factory that builds them.

The work revolves around Kubernetes, Python, and deep integration with IBM's watsonx AI suite to create scalable inference platforms and automated MLOps pipelines. The culture is deeply technical, meritocratic, and rooted in the open-source philosophy, where contributing to projects that shape global standards is part of the mission. This aligns with what candidates report about a process prioritizing real-world problem-solving and expertise in Linux and hybrid cloud environments.

As the flagship tech employer in downtown Raleigh, Red Hat offers a powerful blend of startup ethos and enterprise-scale impact. This unique position commands highly competitive compensation, with average AI/ML Engineers earning $189,693 and principal engineers reaching $348,000+, according to Indeed's compiled salary data. This premium on deep platform expertise solidifies its place as the defining trailhead for those looking to shape the open-source foundations of AI's future.

Your AI Career Trailhead

This ranked list is your starting map, but your real career adventure begins when you choose a trail and start hiking. Each company here represents a distinct path through Raleigh-Durham's rich terrain: the open-source foundations at Red Hat, the agentic frontiers at Cisco, the specialized data challenges at LexisNexis, and the real-time creativity at Epic Games.

The best route depends entirely on what drives you - whether it's building infrastructure, shaping products, conducting research, or deploying applications. The region's unique ecosystem of university talent, R&D giants, and ambitious scale-ups means there's a path aligned with virtually every AI specialization, from hardware-software co-design to ethical AI in regulated industries.

With the local market thriving - evidenced by strong salary growth and high demand - there's no better time to explore. Your perfect trail, and a career defining the next wave of intelligence, awaits just off the main path. The next step is to lace up your boots and start walking.

Frequently Asked Questions