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Gen Ai Developer Jobs in Raleigh, NC (NOW HIRING)

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional ...

Accenture

Technology Recruiter - Advanced AI

Raleigh, NC · On-site

... engineering, and AI product roles. You will serve as a true talent advisor, bringing deep market ... gen shared services, integrated data and AI insights, and a modern delivery model - human-led and ...

Deloitte

Finance Analytics & AI Manager

Raleigh, NC

By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate ... Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ...

Directsupply

Senior Staff Software Engineer

Durham, NC · On-site

$118K - $156K/yr

Applies AI & Technology - Identifies opportunities to boost efficiency and add value using AI and ... gen dev tools. * Act as a technical mentor, shaping the growth of senior and staff engineers ...

Direct Supply, Inc.

Senior Staff Software Engineer

Durham, NC · On-site

$111K - $146K/yr

Applies AI & Technology** - Identifies opportunities to boost efficiency and add value using AI and ... and next-gen dev tools.* Act as a technical mentor, shaping the growth of senior and staff ...

nVent

Senior Principal Electrical Engineer

Raleigh, NC · On-site

$123K - $229K/yr

Guide engineering teams in rapid prototyping and proof-of-concepts to validate new concepts ... Anticipate industry shifts (AI-scale, 1MW+ racks, OCP-HPR standards) and propose next-gen ...

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Gen Ai Developer information

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How much do gen ai developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for gen ai developer in Raleigh, NC is $44.02, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $53.27 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What are the key skills and qualifications needed to thrive as a Gen AI developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

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

For Gen Ai Developer jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

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

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

Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Raleigh, NC as of September 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $91,564 per year, or $44 per hour.

Lead Data Engineer

Raleigh, NC • On-site, Remote

Envestnet
See more jobs at Envestnetexternal

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

Job description

Job Location   

The primary work location for this role is Raleigh, NC with a hybrid work model.   

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

The Team You’ll Join  

The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and be responsible for data pipeline solutions design and development, troubleshooting, and optimization tuning on the next generation data and analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on functional teams or projects.

How You’ll Contribute   

  • Deliver end-to-end data and analytics capabilities, including data ingest, data transformation, data science, and data visualization in collaboration with Data and Analytics stakeholder groups. 
  • Design and deploy databases and data pipelines to support analytics projects.
  • Develop scalable and fault-tolerant workflows.
  • Clearly document issues, solutions, findings and recommendations to be shared internally & externally.
  • Learn and apply tools and technologies proficiently, including: 
  • Languages: SQL (standard and DB-specific), Python, Scala, Bash 
  • Frameworks: Hadoop, Spark, Kafka 
  • Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning 
  • Cloud Computing: AWS 
  • Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI 
  • Performance optimization for queries and dashboards.
  • Develop and deliver clear, compelling briefings to internal and external stakeholders on findings, recommendations, and solutions.
  • Analyze client data & systems to determine whether requirements can be met.
  • Test and validate data pipelines, transformations, datasets, reports, and dashboards built by team.
  • Develop and communicate solutions architectures and present solutions to both business and technical stakeholders.
  • Provide end user support to other data engineers and analysts.
  • Be a team leader and take lead role on functional teams or projects.
  • Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions. 
  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested. 
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.

What You’ll Need to Bring  

  • 8-12 years of relevant experience or equivalent combination of experience and education.
  • Expert experience in the following: 
  • SQL, Python, PySpark. Other programming languages (R, Scala, SAS, Java, etc.) are a plus.
  • Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI.
  • Knowledge of CI/CD and related tools such as Gitlab, AWS CodeCommit, etc.
  • AWS services including EMR, Glue, Athena, Batch, Lambda Cloudwatch, DynamoDB, EC2, Cloudformation, IAM and EDS.
  • Solid scripting skills (e.g., bash/shell scripts, Python). 
  • Proven work experience in the following: 
  • Data streaming technologies 
  • Using LLMs, creating RAG, choosing vector vs graph db for embedding, etc. 
  • Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. 
  • Linux command-line operations.
  • Networking knowledge (OSI network layers, TCP/IP, virtualization).
  • Candidate should be able to lead the team, communicate with business, gather and interpret business requirements.
  • Experience with agile delivery methodologies using Jira or similar tools.
  • Experience working with remote teams

Nice-to-Haves  

  • AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus.
  • Bachelor Degree in Computer Science or relevant field, Masters Degree is a plus.

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

Our Investment in You 

At Envestnet, our total rewards philosophy is designed to attract, motivate, and grow exceptional talent. We offer competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs that recognize and reward impact.  

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

   

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at  careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.      

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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