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Generative Ai Jobs in Raleigh, NC (NOW HIRING)

Accenture

Advanced AI Architect

Raleigh, NC · On-site

$94K - $293K/yr

In that role you will be using the latest innovationsin AI Agents, Generative AI,Foundation Models, Knowledge & Data Engineering.You will be designing and implementingcutting edgeproof-of-concepts ...

IQVIA, Inc.

Senior AI Scientist

Durham, NC · On-site

$88K - $120K/yr

Role Overview We are seeking a Senior AI Scientist to lead the design, development, and operationalization of evaluation frameworks for Generative AI systems, with a primary focus on Large Language ...

IQVIA

Senior AI Scientist

Durham, NC · Remote

$88K - $120K/yr

Role Overview We are seeking a Senior AI Scientist to lead the design, development, and operationalization of evaluation frameworks for Generative AI systems, with a primary focus on Large Language ...

DPR Construction

AI Adoption Specialist

Raleigh, NC · On-site

$36K - $41K/yr

Stay current on emerging generative AI tools, enterprise adoption patterns, and best practices. * Help shape DPR's long-term AI enablement and workforce maturity strategy. Required Qualifications

DPR Construction

AI Adoption Specialist

Raleigh, NC · On-site

$36K - $41K/yr

Stay current on emerging generative AI tools, enterprise adoption patterns, and best practices. * Help shape DPR's long-term AI enablement and workforce maturity strategy. Required Qualifications

Infosys

AI ML Engineer with LLM & AWS Integration

Raleigh, NC · On-site

$101K - $136K/yr

Required : • Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. • Experience with developing and deploying AI Agents for ...

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Generative Ai information

What is a Generative AI job?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What are generative AI jobs?

Generative AI jobs involve developing and deploying artificial intelligence systems that create content such as text, images, or audio. These roles typically require skills in machine learning, deep learning frameworks, and programming languages like Python, often involving tasks like model training, data preparation, and algorithm optimization.

What are the primary responsibilities of a Generative AI Specialist on a typical team?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

What are the key skills and qualifications needed to thrive in the Generative Ai position, and why are they important?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

What jobs or careers use generative AI?

Generative AI is used in roles such as AI researchers, machine learning engineers, data scientists, and AI product developers. These jobs involve designing, training, and deploying AI models that generate content, images, or text, often requiring skills in programming, deep learning frameworks, and data analysis.

Is GenAI a good career?

A career in Generative AI involves developing and applying AI models that create content, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI expertise across industries, offering opportunities in research, development, and deployment. Continuous learning and familiarity with tools like neural networks and deep learning frameworks are important for success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are the most commonly searched types of Generative Ai jobs in Raleigh, NC? The most popular types of Generative Ai jobs in Raleigh, NC are:
What are popular job titles related to Generative Ai jobs in Raleigh, NC? For Generative Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Generative Ai jobs in Raleigh, NC look for? The top searched job categories for Generative Ai jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Generative Ai jobs? Cities near Raleigh, NC with the most Generative Ai job openings:
Generative Ai jobs near you
Infographic showing various Generative Ai job openings in Raleigh, NC as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 20% In-person, 20% Hybrid, and 60% Remote job distribution.
Distinguished Technologist, Private Cloud AI

Distinguished Technologist, Private Cloud AI

Hewlett Packard Enterprise

Durham, NC • Hybrid

Full-time

Posted 29 days ago

Hewlett Packard Enterprise rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

31st of 139 rated electronics manufacturers

Job description

Distinguished Technologist, Private Cloud AIThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

HPE Private Cloud solutions, delivered through HPEGreenLake, offer a way for organizations to gain the agility and pay-per-use flexibility of public cloud services within their own data centers, whilemaintainingcontrol and security over their sensitive data. These solutions aim to simplify cloud management, accelerate application development, and improve resourceutilization, all within a dedicated private cloud infrastructure.

We areseekinga highly skilledDistinguished Technologist-Private Cloud AIdevelopment and advancement of the AI Software products.As a Distinguished Technologist within the Private Cloud AI group, you are a handson senior architect and AI leader who defines and delivers the future of AI for our private cloud offerings - one big idea at a time.

You will provide deep technicalexpertiseand leadership across PCAI's applied AI portfolio, spanning foundation models, generative and agentic AI, intelligent automation, and AIpowered experiences for private/hybrid cloud.

Strategy, Architecture & Design

  • Lead AI architecture and technical design workshops with internal teamsand customersto shapePCAI's applied and agentic AI strategy.

  • Definecustomer readyAI architecturesfor private and hybrid cloud - spanning models, runtimes, knowledge/semantic layers, security, governance, and observability.

  • Evaluate and selectISVpartnertechnologies for the AI platform stack,develop TCO and roadmap options, and drive key architectural decisions for PCAI products and customer solutions.

  • Design multiagent,LLMOps/AgentOps, and AI security/governance blueprints, ensuringperformant, reliable, and trustworthy AI systems.

Implementation & Technical Leadership

  • With partnership withPCAIArchitecture team, settheArchitecturedirectionofAgentOps/LLMOps, AI Governance, AI Security, and AI Observability capabilities in PCAI offerings.

  • Build reusable AI components and agents and partner with engineering to take POCs into scalable, productiongrade services.

  • Troubleshoot andoptimizeAI systems at scale andestablishbest practices for modellifecycle, evaluation, and responsible AI.

  • Recommend design optimizations and improvements for performance, cost efficiency, reliability, and trustworthiness.

  • Create and present highimpact technical content(reference architectures, design patterns, whitepapers, conference talks, and internal/external publications) to influence customers, partners, and internal stakeholders.

  • Mentor senior engineers and architectsand provide technical leadership across engineering, applied science, and field organizations.

Experience and Skills

  • Bachelor's degree in computer science or relevant field

  • At least 15+ years of progressive technical leadership andarchitectural experience.

  • Minimum of2 yearsof experiencedesigning and implementing scaled Agentic AI and Generative AI solutionsthat are in production/operations.

  • Minimum of2 yearsof experiencedesigning and implementing agentic AI and Generative AI platforms and frameworksthat are used by multiple AI solutions, products, or teams.

  • Minimum of5 yearsof experiencedesigning, engineering, andoperationalizinglargescale AI/ML solutionson at least one large public cloud platform, using:

  • Cloudnative AI services and frameworks,opensource technologies, andthirdparty tools (e.g., observability, security, governance, data/feature platforms).

  • Minimum of5 yearsofexpertlevel understanding of key AI technologiesfrom public cloud providers,open sourceecosystems, and thirdparty vendors.

Technical Depth (AI/ML and GenAI)

Handson experience with:

  • Foundation models and large language models (LLMs).

  • Building andoptimizingRAG pipelines, multiagent systems, and toolusing agents.

  • Architectingknowledge graphs and semantic layersto support AI agents and domainspecific reasoning.

  • ImplementingAI security, governance, and observabilityin production environments.

  • Modern deep learning architectures (e.g., transformers, sequence models),.

  • Pretraining, finetuning, distillation, and alignment of models.

Cloud, Platform, and Architecture Skills

  • Strong understanding ofcloudnative architectures(containers, microservices, Kubernetes, service meshes) andhybrid/private cloudpatterns.

  • Proventrack recordarchitecting and deployingmissioncritical, highly distributed, largescale platforms or SaaS.

  • Experience integrating AI workloads intoproductiongrade infrastructure, including performance, scalability, reliability, and compliance considerations.

Leadership & Collaboration

  • Demonstrated ability tolead through influence, drive architectural decisions, and align multiple teams around a cohesive technical vision.

  • Excellent communication skills, able to engageexecutives, architects, engineers, and customerson complex technical topics andtradeoffs.

  • Comfortable working in aglobal, distributed, and highly crossfunctional environment,operatingacross product, engineering, sales, and services organizations.

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#executive, #hybridcloud

Job:

Engineering

Job Level:

TCP_07The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 179,500 - 358,500 in Colorado // 194,000 - 388,000 in Massachusetts // 194,000 - 412,500 in California // 170,000 - 412,500 in North Carolina & Texas
The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is July 20 2026; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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