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Ai Infrastructure Job Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams. * Operationalize machine learning workflows and support AI-enabled applications ...

ARA

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams. * Operationalize machine learning workflows and support AI-enabled applications ...

Western Governors University

Staff AI Engineer

Raleigh, NC · On-site +1

$180K - $279K/yr

Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure * Design and scale internal AI platforms including shared tooling, reusable components, prompt ...

Epic Games

Principal Engineer, AI Platform

Cary, NC · On-site

$125K - $167K/yr

ONLINE INFRASTRUCTURE What We Do We enable Epic's online services teams to build, deploy, and ... AI Agent Orchestration - multi-tenant platform for team AI agents that live and collaborate in ...

Ammortal Inc

AI Solutions Lead

Raleigh, NC · On-site +1

$100K - $125K/yr

You work on internal systems, infrastructure and the Chamber. Your work touches all departments and ... AI Implementation - Design, build, and maintain all of our AI systems across the company.

Nvidia

Senior Applied AI Engineer

Durham, NC

$101K - $138K/yr

Design, develop, and improve scalable infrastructure to support the next generation of AI ... applications, including copilots and agentic tools. * Drive improvements in architecture ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC

$101K - $139K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

NetApp

Principal Product Manager

Morrisville, NC · On-site

You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference ...

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All JobsAi Infrastructure Job JobsAi Infrastructure Job Jobs in Raleigh, NC

Ai Infrastructure Job information

See Raleigh, NC salary details

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$57

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How much do ai infrastructure job jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for ai infrastructure job in Raleigh, NC is $57.53, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $67.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in AI infrastructure roles?

Professionals in AI infrastructure roles often encounter challenges such as ensuring scalability and reliability of systems to handle large volumes of data and compute-intensive workloads. Managing the integration of diverse tools and frameworks, optimizing hardware and cloud resources, and maintaining security and compliance are also critical aspects. Additionally, effective collaboration with data scientists, software engineers, and DevOps teams is essential to streamline AI model deployment and monitoring. Staying current with rapidly evolving technologies is key to overcoming these challenges.

What is an AI Infrastructure job?

An AI Infrastructure job involves designing, building, and maintaining the foundational systems and tools required to support artificial intelligence and machine learning workloads. These professionals work on scalable computing environments, manage large datasets, and ensure high-performance computing resources are available for AI development and deployment. Their responsibilities often include optimizing hardware (like GPUs and TPUs), developing cloud-based solutions, and establishing reliable pipelines for data and model management. AI Infrastructure specialists collaborate with data scientists, ML engineers, and IT teams to deliver robust, efficient, and secure platforms that power AI applications.

What are the key skills and qualifications needed to thrive in an AI Infrastructure role, and why are they important?

To excel in an AI Infrastructure role, you need a strong background in computer science, cloud computing, and distributed systems, often supported by a relevant degree and experience with large-scale data environments. Proficiency with tools like Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, or Google Cloud is essential, along with familiarity with CI/CD pipelines and automation frameworks. Strong problem-solving, collaboration, and communication skills help drive innovation and facilitate cross-functional teamwork. These abilities ensure the robust, scalable, and efficient deployment of AI solutions that meet organizational needs.

What is the difference between Ai Infrastructure Job vs Data Engineer?

AspectAi Infrastructure JobData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI frameworksBachelor's in CS, Data Science, or related; programming skills in SQL, Python
Work EnvironmentData centers, cloud platforms, AI labsData pipelines, cloud environments, database systems
Industry UsageAI development, machine learning deploymentData processing, analytics, data pipeline creation

Ai Infrastructure Jobs focus on building and maintaining the hardware and software systems that support AI applications, including cloud and data center infrastructure. Data Engineers primarily develop and manage data pipelines and storage solutions to enable data analysis and machine learning. While both roles require technical skills and work in tech environments, Ai Infrastructure Jobs are more hardware and system-focused, whereas Data Engineers concentrate on data flow and management.

What are popular job titles related to Ai Infrastructure Job jobs in Raleigh, NC? For Ai Infrastructure Job jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Infrastructure Job jobs in Raleigh, NC look for? The top searched job categories for Ai Infrastructure Job jobs in Raleigh, NC are:
Ai Infrastructure Job jobs near you
Infographic showing various Ai Infrastructure Job job openings in Raleigh, NC as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 49% In-person, 13% Hybrid, and 38% Remote job distribution, with an average salary of $119,666 per year, or $57.5 per hour.

Senior Platform Engineer, Data & AI Infrastructure

McKinney

Durham, NC • On-site

$104K - $142K/yr

Full-time

Re-posted 28 days ago

Job description

Purpose
We're looking for a DevOps / Cloud Security / Data Infrastructure Engineer who will build, operate, and evolve the cloud infrastructure and data platform that powers McKinney's internal AI and analytics products. You'll own the foundation that enables our data lakehouse - managing pipelines, orchestration, infrastructure-as-code, and platform reliability so that our engineering and data teams can ship fast and with confidence.
You'll work alongside our Applied Emerging Technology (AET) department to operate a modern stack built on AWS, Snowflake, Fivetran, DBT, FastAPI, and Okta (auth0). You'll be hands-on with infrastructure automation, CI/CD, observability, and data pipeline health - from early design through deployment, monitoring, and iteration.
Ideal Candidate
  • You think in systems: pipelines, infrastructure state, observability, and failure modes are your natural vocabulary.
  • You're comfortable owning cloud infrastructure end-to-end, from provisioning to incident response.
  • You have a strong data engineering sensibility. You understand ELT patterns, warehouse architecture, and what makes pipelines reliable and cost-efficient.
  • You automate everything, write infrastructure as code, and treat configuration drift as a bug.
  • You collaborate closely with software engineers, data analysts, and product owners.
  • You're curious about AI infrastructure and excited to support LLM-powered products in production.
  • You have used and are learning to leverage AI-coding assistants ( codex, claude-code, etc. )
  • Networking / cloud security experience

Responsibilities
  • Design, build, and maintain cloud infrastructure on AWS using Terraform and GitOps (or comparable) workflows; manage environments (dev, staging, production) with consistency and auditability.
  • Own and operate Snowflake data warehouse infrastructure: virtual warehouse sizing and cost governance, resource monitors, account-level configurations, and integration with Fivetran and/or DBT.
  • Manage and monitor ELT connectors; troubleshoot sync failures, schema drift, and performance issues; coordinate with source system owners on connector changes.
  • Support and extend pipelines: manage job scheduling, run monitoring, model dependencies, and test coverage; work with data practitioners on performance optimization.
  • Operate and harden our dev platform: manage user access, environment variables, secrets, deployment configurations, and platform upgrades.
  • Administer Okta SSO integrations and auth0 across the platform; manage application assignments, SCIM provisioning, and authentication policies.
  • Build and maintain CI/CD pipelines for infrastructure and application code; enforce automated testing, security scanning, and deployment gates.
  • Author and maintain Dockerfiles and container images; manage image lifecycle in a container registry; enforce container security best practices.
  • Establish and maintain observability across the stack: metrics, logs, traces, and alerting for pipelines, APIs, and platform services.
  • Manage secrets, IAM roles, and least-privilege access policies across AWS services; maintain a strong security and compliance posture.
  • Perform capacity planning, cost optimization, and FinOps hygiene across AWS and Snowflake; report on platform spend and efficiency.
  • Document infrastructure architecture, runbooks, and incident postmortems; contribute to disaster recovery and business continuity planning.

Qualifications
Professional Skills
  • AWS: Strong hands-on experience with core services (EC2, ECS/Fargate, Lambda, RDS, S3, IAM, VPC, CloudWatch, Secrets Manager, ECR, CodeBuild/CodePipeline); experience with cost optimization and tagging strategies.
  • Infrastructure as Code: Terraform (required); GitOps or comparable workflows; experience managing multi-environment infrastructure with state management and module reuse.
  • Snowflake Administration: Virtual warehouse management, resource monitors, role-based access control, data sharing, and cost governance; familiarity with Snowflake architecture (micro-partitions, clustering, caching).
  • Data Pipeline Operations: Hands-on experience operating ELT pipelines (Fivetran or comparable); understanding of connector types, sync modes, and failure recovery patterns.
  • DBT: Experience running and monitoring DBT Cloud or Core jobs; understanding of model dependencies, incremental strategies, and test frameworks.
  • CI/CD: GitHub Actions or equivalent; automated build, test, and deployment pipelines for both application and infrastructure code.
  • Containers: Docker image authoring (multi-stage builds), image scanning, registry management; ECS/Fargate deployment experience.
  • Observability: Experience implementing metrics, logging, and alerting stacks (CloudWatch, Datadog, or comparable); on-call participation and incident response.
  • Security & Identity: IAM least-privilege design, Okta SSO/auth0 administration, secrets management, and security best practices for cloud-native environments.
  • Scripting: Python or comparable for automation, tooling, and operational tasks.

Competencies
  • Communicates clearly with engineering, data, and product partners; translates infrastructure concerns into business-relevant language.
  • Ownership and accountability; follows through on incidents, changes, and documentation.
  • Reliability-first mindset balanced with a pragmatic approach to speed and iteration.
  • Growth mindset; stays current with cloud and data tooling developments.
  • Uses AI assistants responsibly to accelerate infrastructure work, with critical validation of generated configurations and scripts.

Experience
  • 5+ years of professional DevOps, Platform Engineering, or Data Infrastructure experience.
  • Proven hands-on experience with AWS and Terraform in production environments.
  • Demonstrable experience operating a modern data stack (Snowflake, Fivetran, or DBT in any combination).
  • Experience with container-based deployments and CI/CD automation.
  • Prior work in a small, high-ownership team where you wore multiple infrastructure hats is a strong plus.

Salary Range
Our estimated range for this role is $130-$150k
Compensation packages are based on the skill level and experience each candidate brings to their role. There may also be a more senior or junior position available that could be a better fit with your expertise. Each level has its own compensation range.
We pride ourselves on competitive salaries, and ensuring pay equity exists across our organization. We benchmark each position against existing employee competencies and 4As compensation data which includes geographic and agency size benchmarks. We also meet with department leaders 3x/year to ensure we are supporting employees in living into their full potential. Our promotions are not limited to a specific time per year. Promotions are tied to performance.
Right To Work In The US
You must be authorized to work in the US for any employer. At this time, we are not sponsoring or providing assistance with obtaining work authorization.
McKinney is a place where everyone can grow. Studies have shown that marginalized communities such as women, LGBTQ+ and people of color are less likely to apply to jobs unless they meet every single qualification. However you identify, and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.
We are in the office Tuesday/Wednesday/Thursday on a hybrid schedule. We look forward to meeting you!
About McKinney
McKinney is a creative agency that gets unfair attention for brands. In 2024, McKinney was named to Fast Company's Best Workplaces for Innovators list, as well as Ad Age's A-List and its list of Best Places to Work (2024 and 2025), reinforcing the agency's commitment to providing an exceptional workplace culture where employees thrive, and creativity flourishes. McKinney Health, the agency's Pharma and Wellness practice, launched in 2022, was named to MM+M Magazine's 2024 Agency 100 list. A Certified B Corporation, McKinney is part of the Cheil Worldwide network and has offices across the country, including Durham, New York, Los Angeles, Dallas, Phoenix, and Toronto. McKinney has been recognized by Cannes Lions, Effies, The One Show, D&AD, ANDY, CLIO, LIA, the Shortys, and The Webby Awards, among others. Client partners include brands such as Popeyes, Blue Diamond Growers, Little Caesars, Pampers, Henkel, Samsung, Indivior, Sherwin-Williams, Biogen and the Ad Council. For more information, visit mckinney.com.

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