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Ai Agent Jobs in Raleigh, NC (NOW HIRING)

Epic Games

Principal Engineer, AI Platform

Cary, NC · On-site

$125K - $167K/yr

You'll guide a team of engineers in building high-impact products like unified AI code review systems, Cloud agent hosting, centralized AI knowledge base and developer experience tools that serve ...

micro1 AI

Director of Biostatistics

Cary, NC · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

micro1 AI

Director of Biostatistics

Raleigh, NC · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

micro1 AI

Biostatistician

Durham, NC · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

micro1 AI

Biostatistician

Raleigh, NC · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

micro1 AI

Director of Biostatistics

Durham, NC · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

micro1 AI

Biostatistician

Cary, NC · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Pwc

AI Engineer

Raleigh, NC · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent accelerators that increase consistency and reuse * Implement observability, monitoring, and performance ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Define and support data preparation, ingestion, and retrieval workflows that enable production AI applications, retrieval-augmented generation (RAG), and AI agent solutions. * Collaborate with ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

... AI agent accelerators that increase consistency and reuse • Implement observability, monitoring, and performance measurement practices for both traditional and AI-driven workflows. • Lead ...

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How much do ai agent jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for ai agent in Raleigh, NC is $29.30, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $38.56 per hour, depending on experience, location, and employer.

What is an AI Agent?

An AI Agent job typically involves designing, developing, and managing autonomous or semi-autonomous AI systems that can perform tasks, make decisions, and interact with users or other systems. AI Agents may be used in customer service, data analysis, automation, and decision-making processes. Professionals in this role often work with machine learning models, natural language processing, and reinforcement learning to enhance the capabilities of AI-driven agents.

What does an AI Agent do?

AI Agents often work on projects that involve designing, developing, and optimizing AI-driven systems such as chatbots, recommendation engines, or automated decision-making tools. Daily tasks may include data preprocessing, model training and evaluation, troubleshooting system performance, and collaborating with data scientists, software engineers, and product managers to align solutions with business objectives. The work environment is typically collaborative, fast-paced, and outcome-oriented, allowing team members to contribute ideas and innovations regularly. Over time, AI Agents can progress into more specialized or leadership roles, taking on greater responsibilities and overseeing larger initiatives.

What are the key skills and qualifications needed to thrive as an AI Agent?

To thrive as an AI Agent, you need a strong background in artificial intelligence, machine learning, and data analysis, often supported by a relevant degree in computer science or a related field. Familiarity with programming languages such as Python, TensorFlow, and natural language processing (NLP) tools, as well as certifications in machine learning or AI technologies, is often required. Strong problem-solving abilities, teamwork, and effective communication skills are important for collaborating on complex projects. These abilities are essential for developing, maintaining, and improving AI-driven solutions that meet the needs of businesses and end-users.

How can I become an AI agent?

To become an AI agent, you typically need a background in computer science, data science, or related fields, along with skills in programming languages like Python and knowledge of machine learning frameworks. Gaining experience through relevant projects, certifications, or training in AI and automation tools can also be beneficial. Strong problem-solving skills and understanding of AI ethics are important for this role.

How much does an AI agent make?

The salary of an AI agent varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Roles often require skills in machine learning, programming, and data analysis, with higher salaries for those with advanced certifications or specialized expertise.

What work can AI agents do?

AI agents can perform tasks such as data analysis, automation of repetitive processes, customer support through chatbots, and decision-making assistance. They often require skills in programming, machine learning, and familiarity with AI tools and platforms.

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Infographic showing various Ai Agent 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 $60,952 per year, or $29.3 per hour.

Senior Manager-AI Governance and Strategy

Morrisville, NC • On-site

Lenovo
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

80th of 159 rated electronics manufacturers

Great coworkers

People enjoy working here

Good employer

Learn more about Lenovoexternal

$150 - $190/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Overview

United States of America - North Carolina - Morrisville

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, serving millions of customers in 180 markets. Lenovo builds a full-stack portfolio spanning devices, infrastructure, software, solutions, and services and is committed to delivering Smarter Technology for All.

To learn more, visit www.lenovo.com and read about the latest news on StoryHub.

Description and Requirements

Role Summary

The Senior Manager, AI Control Tower & Agentic AI Governance serves as the central operating and governance lead for Lenovo’s AI Control Tower and enterprise-scale agentic AI initiatives. This role ensures that new AI agents are business-justified, well-governed, and properly supported by data and knowledge assets, with operational scalability.

The individual will coordinate across DTIT, business units, segments, and functional teams to manage agentic AI intake, governance, prioritization, lifecycle oversight, knowledge base strategy, change management, and value realization. The role helps Lenovo scale agentic AI safely and efficiently while preventing fragmentation, duplication, and unmanaged AI sprawl.

Responsibilities
  • AI Control Tower & Agentic AI Governance: Operate and evolve the AI Control Tower as the central coordination point for enterprise agentic AI initiatives.
  • AI Control Tower & Agentic AI Governance: Establish and manage governance frameworks for AI agent intake, prioritization, risk assessment, lifecycle management, and change control.
  • AI Control Tower & Agentic AI Governance: Coordinate with DTIT to ensure AI agents align with enterprise architecture, security, compliance, and operating model standards.
  • AI Control Tower & Agentic AI Governance: Track and manage the enterprise portfolio of AI agents, including status, dependencies, reuse opportunities, and value realization.
  • Business Engagement & Enablement: Engage business units, segments, and functions to support AI agent design, development, piloting, testing, and adoption.
  • Business Engagement & Enablement: Define training and enablement needs for AI agent deployment.
  • Business Engagement & Enablement: Ensure clear business ownership, success metrics, adoption readiness, and ongoing stakeholder alignment.
  • Business Engagement & Enablement: Act as the primary interface between business stakeholders and DTIT for agentic AI initiatives.
  • Business Case & Value Validation: Partner with business sponsors to validate business cases for new AI agents, including value hypotheses, KPIs, and scale assumptions.
  • Business Case & Value Validation: Ensure proposed AI agents address clearly defined, high-value use cases.
  • Business Case & Value Validation: Assess duplication risk and identify reuse opportunities across the enterprise AI portfolio.
  • Business Case & Value Validation: Track realized value and feed insights back into Control Tower prioritization.
  • Business Case & Value Validation: Lead engagement with business teams on data sourcing strategy for new AI agents.
  • Knowledge Base & Governance: Own intake and governance for new product or domain-specific knowledge bases, as well as changes, enhancements, and retirement of existing knowledge bases.
  • Knowledge Base & Governance: Coordinate with DTIT on knowledge base setup, seeding, chunking, curation, validation, maintenance, updates, and version control.
  • Knowledge Base & Governance: Serve as the business-facing owner for knowledge asset quality, relevance, and fitness for AI use.
  • Knowledge Base & Governance: Lead structured efforts to inventory and rationalize legacy unstructured data stores.
  • Knowledge Base & Governance: Eliminate duplication, stale content, and unmanaged repositories.
  • Knowledge Base & Governance: Drive standards for content ownership, stewardship, and ongoing governance.
  • Key Interfaces: DTIT teams, including architecture, AI platforms, security, data, and change management.
  • Key Interfaces: Business unit and segment leadership.
  • Key Interfaces: Product, sales, services, and operations teams.
  • Key Interfaces: AI platform, knowledge management, and governance functions.
Qualifications
  • Business degree with MIS or Computer Science background.
  • 10+ years of experience in enterprise transformation, digital platforms, data/AI governance, and product operations.
  • Direct experience working across business units and central IT organizations.
  • Strong background in governance, operating models, and portfolio management.
  • Demonstrated ability to translate business needs into structured AI, data, and knowledge requirements.
  • Proven track record of managing AI projects through the AI solution lifecycle.
  • Strong executive communication and stakeholder management skills.
  • Preferred: Computer Science, MIS, Business Analytics, or AI/ML certification.
  • 3+ years of experience with agentic AI, AI platforms, or AI-enabled workflows.
  • Knowledge of knowledge bases, unstructured data management, and content lifecycle governance.
  • Familiarity with change management frameworks in large, global organizations.
  • Experience rationalizing fragmented data or content ecosystems.
Critical Success Factors
  • Ability to balance speed and control in AI deployment.
  • Strong systems thinking across technology, data, knowledge, and operating model dimensions.
  • Comfort operating in ambiguity while creating structure.
  • Enterprise-first mindset with business credibility.

The base salary budgeted range for this position is $150k - 190K. Individuals may also be considered for bonus and/or commission.

Lenovo’s benefits can be found at www.lenovobenefits.com.

In compliance with Colorado's EPEWA, the expected application deadline for this position is August 27, 2026. This applies to both external and internal candidates.

#LI-FL1

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, veteran status, or disability or any federal, state, or local protected class.

Additional Locations: United States of America - North Carolina - Morrisville

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