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Genai Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior DevOps Engineer

Raleigh, NC · Remote

$126K - $162K/yr

Embed AIassisted DevOps practices, leveraging GenAI tools to accelerate troubleshooting, automate operational tasks, improve deployment reliability, and optimize system performance * Enable AIOps ...

You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific ...

Senior DevOps Engineer

Raleigh, NC · On-site

$126K - $162K/yr

Embed AI-assisted DevOps practices, leveraging GenAI tools to accelerate troubleshooting, automate operational tasks, improve deployment reliability, and optimize system performance * Enable AIOps ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Delivery Management Engineer II

Raleigh, NC · On-site

$54.25 - $72.50/hr

Responsibilities : • Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams ...

Familiarity with GenAI frameworks: LangChain, LlamaIndex, Azure OpenAI, Hugging Face. * Knowledge of reinforcement learning, computer vision, or multimodal AI. * Experience with prompt engineering or ...

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$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 ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ...

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Genai Engineer information

What are some typical challenges a GenAI Engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI Engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI Engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Raleigh, NC? For Genai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Raleigh, NC look for? The top searched job categories for Genai Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Genai Engineer jobs? Cities near Raleigh, NC with the most Genai Engineer job openings:
Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

Truist

Raleigh, NC • On-site

$101K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Senior Engineer/Platform Leader accountable for designing, building, and operating secure, scalable AI/ML and Generative AI (GenAI) platforms in the cloud. This role develops and maintains reusable platform capabilities (e.g., model and prompt development environments, feature/model/prompt management, retrieval and knowledge-grounding patterns, data access patterns, CI/CD automation, evaluation/testing, and observability) so teams can deliver business outcomes faster while meeting Truist technology standards, security requirements, and regulatory obligations.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Design, build, and execute the AI/ML and GenAI platform strategy aligned to enterprise architecture, security, and risk standards.

  • Own the engineering and lifecycle management of AI/ML platform components (e.g., development workspaces, training/inference patterns, model registry, feature storage patterns, experiment tracking, prompt/version management, retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization.

  • Establish and champion DevSecOps practices for platform delivery, including GitLab source control, build automation, and CI/CD pipelines for infrastructure and application deployments.

  • Deploy infrastructure as code (IaC) to the cloud using Terraform modules and pipelines; define standards for environments, networking, identity, secrets, encryption, logging, and configuration management.

  • Partner with Cybersecurity, Risk, and other 2nd line of defense teams to implement and evidence required security controls (e.g., IAM least privilege, network segmentation, encryption, vulnerability management, audit logging, and policy-as-code) across platform services.

  • Implement governance patterns for AI/ML and GenAI (e.g., model and prompt lifecycle controls, lineage/traceability for data, prompts, and outputs, approvals, change management, risk assessments, and operational readiness) consistent with enterprise data governance and regulatory obligations.

  • Provide technical leadership and hands-on engineering to solve complex platform problems (performance, reliability, scalability, cost, and security), and guide engineers through designs, reviews, and delivery.

  • Build platform reliability through automation and observability (monitoring, logging, tracing, SLOs), and partner with production support teams to increase resiliency, reduce toil, and improve time to recover.

  • Enable self-service platform consumption via standardized APIs, reusable pipelines, templates, and documentation; in an Agile environment, may serve as an Agile/DevSecOps champion to accelerate delivery while maintaining compliance.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Undergraduate degree in either computer science, analytics, data engineering, finance or equivalent degree.
2. At least 3 years of experience driving enterprise data strategy, data execution, data engineering or software delivery
3. Expert problem solving skills and being able to define detailed strategies
4. Experience in financial services or payments industry
5. Experience in meeting regulatory obligations and operating in a highly regulatory environment on the cloud
6. Experience in building a high performing team

Preferred Qualifications:

  • Master's degree and/or 8+ years of progressive experience delivering complex cloud platforms, preferably supporting AI/ML or analytics workloads at enterprise scale.

  • Experience building AI/ML platforms and/or MLOps capabilities (e.g., training/inference automation, model packaging and deployment, model registry, experiment tracking, and operational monitoring).

  • Experience with container platforms and orchestration (e.g., Kubernetes/EKS), API enablement, and modern ML tooling (e.g., Python ML ecosystem) to operationalize models and GenAI services.

  • Deep expertise in AWS (compute, networking, security/IAM, logging/monitoring, and managed services) and moderate experience with Azure services and deployment patterns.

  • Hands-on DevOps/DevSecOps experience building CI/CD pipelines (GitLab), including automated testing, security scanning, artifact management, and controlled deployments across environments.

  • Strong infrastructure-as-code experience deploying cloud components using Terraform; ability to build reusable modules and enforce standards/guardrails.

  • Relevant cloud and security certifications (preferred), such as AWS Solutions Architect/DevOps Engineer, AWS Security Specialty, Azure Administrator/Architect, and/or Terraform certification; strong mentoring/coaching skills for engineers distributed across onshore and offshore teams.

The annual base salary for this position is $130000 - $170000.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019