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Ai Accelerator Jobs in Raleigh, NC (NOW HIRING)

Gilead

Platform Delivery Lead, Data & AI

Raleigh, NC · On-site

As part of our enterprise AI strategy to speed life-changing therapies to patients, we are seeking ... Champion the creation of reusable assets and accelerators - agent templates, MCP tools and servers ...

Nvidia

ASIC Design Efficiency Engineer

Durham, NC

NVIDIA is seeking extraordinary methodology engineers to design hardware accelerators and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

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Ai Accelerator information

See Raleigh, NC salary details

$36.9K

$51.3K

$64.6K

How much do ai accelerator jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai accelerator in Raleigh, NC is $51,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $57,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What are popular job titles related to Ai Accelerator jobs in Raleigh, NC?

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What job categories do people searching Ai Accelerator jobs in Raleigh, NC look for?

The top searched job categories for Ai Accelerator jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Accelerator jobs?

Cities near Raleigh, NC with the most Ai Accelerator job openings:

Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $51,337 per year, or $24.7 per hour.

Principal Technical Product Owner - AI Platform

First Citizens Bank

Raleigh, NC • On-site

Full-time

Re-posted 11 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

107th of 171 rated banks

Job description

Overview
The Technical Product Owner is a highly visible principal-level product leader, responsible for driving the successful delivery and adoption of enterprise AI initiatives, platforms, and solutions. This role combines product ownership, technical acumen, and program execution to translate business opportunities into scalable AI capabilities that deliver measurable value.
The role partners closely with business stakeholders, architects, engineering teams, data teams, security, governance, and platform providers to define requirements, prioritize roadmaps, manage delivery, and ensure successful implementation of AI-powered solutions. This individual serves as the bridge between strategy and execution, ensuring AI initiatives progress from concept to production while aligning with enterprise architecture, security, and governance standards.
Responsibilities
AI Product Strategy & Delivery
  • Own the end-to-end delivery lifecycle for AI initiatives, platforms, and use cases.
  • Partner with business stakeholders to identify, evaluate, and prioritize AI opportunities.
  • Translate business objectives into actionable product roadmaps, epics, user stories, and delivery plans.
  • Define MVPs, phased releases, and adoption strategies for Data & AI solutions.
  • Drive execution across multiple initiatives simultaneously while managing dependencies, risks, and timelines.
  • Establish success metrics and KPIs to measure business value and platform adoption.

AI Use Case Enablement
  • Lead discovery, requirements gathering, and solution definition for AI use cases across the enterprise.
  • Facilitate workshops with business and technology stakeholders to refine use case scope and expected outcomes.
  • Support use case evaluation, feasibility analysis, and prioritization.
  • Coordinate proof-of-concepts, pilots, and production implementations.
  • Ensure AI solutions are aligned with enterprise standards, governance requirements, and business objectives.

Technical Product Ownership
  • Collaborate with architects and engineering teams to define solution requirements and technical capabilities.
  • Develop and maintain product backlogs, user stories, acceptance criteria, and release plans.
  • Internal
  • Participate in architecture reviews, design discussions, and solution planning activities.
  • Understand AI architecture patterns including RAG (Retrieval-Augmented Generation), Agentic AI , Graph RAG, AI Assistants & Copilots, Knowledge Management Platforms, Model Orchestration Frameworks
  • Ensure technical requirements align with scalability, security, reliability, and operational objectives.

AWS & Data Platform Collaboration
  • Partner with cloud, platform, and data engineering teams to deliver AI capabilities leveraging AWS Bedrock, Snowflake Cortex AI, Snowflake Native AI capabilities
  • Coordinate platform onboarding, integration, testing, and production readiness activities.
  • Drive adoption of reusable platform capabilities, patterns, and accelerators.

Stakeholder Management & Governance
  • Serve as the primary liaison between business stakeholders and technology delivery teams.
  • Present roadmap progress, risks, dependencies, and outcomes to leadership.
  • Coordinate with Security, Risk, Compliance, Architecture Review Boards, and AI Governance teams.
  • Ensure AI initiatives comply with enterprise policies and responsible AI practices.
  • Manage vendor engagements, proof-of-concepts, and external partnerships.

Leadership & Best Practices
  • Champion agile product management and iterative delivery practices.
  • Drive alignment across business, architecture, engineering, and governance teams.
  • Promote reuse of AI platform capabilities and enterprise standards.
  • Foster collaboration, transparency, and continuous improvement.
  • Stay informed on emerging AI technologies, market trends, and industry best practices.

Qualifications
Bachelor's Degree and 8 years of experience in Product Management, Scrum, Agile OR High School Diploma or GED and 12 years of experience in Product Management, Scrum, Agile
Preferred Qualifications
  • 8+ years of experience in Product Management, Product Ownership, Program Delivery, Technology Delivery, or related leadership roles.
  • 3+ years of experience delivering AI, Data, Analytics, Cloud, or Digital Transformation initiatives in enterprise environments.
  • Proven ability to lead complex cross-functional programs involving business stakeholders, architecture, engineering, security, and governance teams.
  • Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and emerging AI technologies.
  • Hands-on knowledge of cloud-native architectures and services, preferably AWS, including AI/ML, data, integration, and platform capabilities.
  • Experience working with Agile methodologies, backlog management, roadmap planning, user story development, release management, and product lifecycle processes.
  • Excellent communication, stakeholder management, and executive presentation skills, with the ability to translate business needs into scalable technical solutions.

  • Experience delivering Enterprise AI Platforms or large-scale AI products.
  • Experience with AWS Bedrock, Snowflake Cortex AI, Vector Databases, GraphRAG, and Agentic AI solutions.
  • Experience within Banking, Financial Services, or other regulated industries.
  • Product Owner (CSPO, SAFe POPM) and/or AWS Cloud/AI certifications.

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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