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Ai Advisor Jobs in Raleigh, NC (NOW HIRING)

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... advisors across leading banks, wealth managers, brokerages, and RIAs.      For a deeper ... Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... advisors across leading banks, wealth managers, brokerages, and RIAs.      For a deeper ... Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

... advisors across leading banks, wealth managers, brokerages, and RIAs.      For a deeper ... Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ...

Blending AI-powered efficiency with a culture-first, human-driven approach to help organizations ... Act as a trusted advisor, helping clients align their hiring strategy with their business ...

AI Operations Engineer

Durham, NC · On-site

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next ... ACA Group is the leading governance, risk, and compliance (GRC) advisor in financial services. We ...

AI Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next ... ACA Group is the leading governance, risk, and compliance (GRC) advisor in financial services. We ...

Wealth Advisor

Durham, NC · On-site

$80K - $95K/yr

Wealth Advisor Supported with a robust array of resources and solutions, The Wealth Advisor is part ... We equip our associates with future-focused skills and AI tools that enable us to advance our ...

Serve as a trusted advisor to pharmaceutical clients on data strategy, data transformation and ... Influence client decisions on investments in AI/ML, real-world evidence (RWE), and advanced ...

Showing results 21-40

Ai Advisor information

See Raleigh, NC salary details

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How much do ai advisor jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai advisor in Raleigh, NC is $25.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $28.99 per hour, depending on experience, location, and employer.

What is an AI advisor?

AI Advisors are professionals who provide expert guidance on the adoption, implementation, and optimization of artificial intelligence technologies in organizations. They assess business needs, recommend suitable AI solutions, and help integrate these technologies into existing processes. AI Advisors also stay updated on the latest advancements in AI and ensure that ethical, legal, and data privacy concerns are addressed during AI adoption. Their goal is to help organizations leverage AI to improve efficiency, decision-making, and innovation.

How does an AI advisor typically collaborate with cross-functional teams within an organization?

AI Advisors often work closely with teams from IT, data science, business strategy, and product development to identify opportunities for AI integration and ensure solutions align with organizational goals. This collaboration involves translating complex AI concepts into actionable business strategies, facilitating workshops, and providing guidance on best practices. Effective communication and project management skills are essential, as AI Advisors help bridge the gap between technical specialists and business stakeholders to drive successful AI adoption.

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

To thrive as an AI Advisor, you need expertise in artificial intelligence, data analytics, machine learning, and a relevant degree in computer science or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications in AI or data science are often required. Strong communication, problem-solving, and stakeholder management skills help convey complex AI concepts and build trust with clients or teams. These skills ensure AI solutions are effectively designed, implemented, and aligned with business goals.

How to become an AI advisor?

To become an AI advisor, individuals typically need a strong background in computer science, data science, or related fields, along with expertise in artificial intelligence, machine learning, and data analysis. Gaining experience through relevant projects, certifications, or advanced degrees can enhance credibility, and staying updated with the latest AI tools and research is essential for success in this role.

What does an AI advisor do?

An AI advisor helps organizations develop, implement, and optimize artificial intelligence solutions. They analyze business needs, recommend AI tools and strategies, and often have skills in data analysis, machine learning, and programming to support decision-making and innovation.

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

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

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

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

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

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

Infographic showing various Ai Advisor job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $48,082 per year, or $23.1 per hour.

Lead AI Quality Assurance Engineer

Envestnet

Raleigh, NC • Hybrid

$125K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

Description

The application window will close Month Day, Year 

Job Location   

The primary work location for this role is Berwyn, Raleigh, Boston, Chicago, or Seattle 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 byover 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 Quality Assurance Engineering team plays a critical role in ensuring the reliability, security, and effectiveness of Envestnet’s technology solutions, with a growing focus on AI-enabled products and platforms. Working at the intersection of engineering, data science, product, cybersecurity, and business operations, the team develops and executes innovative testing and validation strategies that help deliver trusted experiences for clients and internal stakeholders alike. By championing quality, governance, automation, and continuous improvement, the team helps accelerate the adoption of emerging technologies while ensuring solutions are scalable, compliant, and built to meet the highest standards of performance and customer confidence.

How You’ll Contribute  

Ensures that artificial intelligence solutions are accurate, reliable, secure, compliant and aligned with business and client expectations. Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks, monitoring methodologies, governance standards and automation capabilities to support scalable and trustworthy AI adoption.

  • Leads testing efforts for moderately complex AI products, features and platform enhancements.
  • Designs advanced test plans covering model accuracy, bias detection, explainability and operational resilience.
  • Develops automated testing frameworks and monitoring approaches for AI systems.
  • Performs detailed analysis of defects, model drift and production quality issues.
  • Partners with cross-functional stakeholders to define acceptance criteria and quality standards.
  • Mentors junior analysts and reviews testing deliverables for quality and consistency.
  • Supports implementation of enterprise AI governance and risk management controls.
  • Recommends improvements to testing methodologies, tooling and operational processes.
  • Facilitates quality reviews, stakeholder workshops, model validation discussions, and testing strategy sessions.
  • Identifies operational, technical, compliance, and model-related risks and recommends mitigation strategies.
  • Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies.
  • Evaluates quality, reliability, security, governance, and compliance considerations associated with AI products and services.

What You’ll Need to Bring  

  • Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
  • Ability to evaluate complex problems, identify root causes, assess alternatives, and implement practical, scalable, data-driven solutions.
  • Demonstrated ability to establish and maintain productive relationships across business, technology, product, engineering, data science, and risk organizations.
  • Knowledge of process improvement techniques, operational workflows, dependency management, quality optimization, and governance practices.
  • Ability to communicate technical and non-technical concepts clearly to diverse audiences, including leadership stakeholders.
  • Experience coordinating cross-functional initiatives, managing dependencies, tracking progress, and delivering measurable outcomes.
  • Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities, limitations, risks, and practical applications, with experience validating AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.
  • Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination testing, data quality validation, AI governance controls, and regulatory, security, privacy, or responsible AI requirements.

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 

This role offers a base salary range of $152,300 to $190,400. The range listed represents a good-faith estimate of base salary compensation for this position and does not include incentive compensation, equity or benefits. Individual pay will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, and geographic location, in accordance with applicable pay transparency laws.  This role is eligible for an additional incentive component as part of the total rewards package.   

 

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 toassistyou 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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