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Ai Implementation Jobs in Raleigh, NC (NOW HIRING)

US Radiology Specialists

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

This role requires a blend of enterprise solution architecture and hands-on AI implementation capability , with the ability to both design scalable solutions and independently build or prototype AI ...

Ammortal Inc

AI Solutions Lead

Raleigh, NC · On-site +1

$100K - $125K/yr

You design, build, implement, and train everyone on AI systems across the company. You work on internal systems, infrastructure and our the Chamber. Your work touches all departments and all business ...

New

Q2

Sr. Implementation Engineer

Cary, NC · Hybrid

As Q2 continues to expand the use of automation and AI-enabled capabilities across our products and implementation processes, you will leverage emerging technologies to improve delivery efficiency ...

Labcorp

IT Implementation Specialist II

Durham, NC · On-site

$85K - $120K/yr

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... The individual will also help define a standard and repeatable implementation process that can be ...

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Ai Implementation information

See Raleigh, NC salary details

$37.9K

$100.6K

$163.3K

How much do ai implementation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai implementation in Raleigh, NC is $100,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $117,600.00 per year, depending on experience, location, and employer.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

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

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
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What job categories do people searching Ai Implementation jobs in Raleigh, NC look for? The top searched job categories for Ai Implementation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Implementation jobs? Cities near Raleigh, NC with the most Ai Implementation job openings:
Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Raleigh, NC as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $100,628 per year, or $48.4 per hour.
AI Solutions Architect

AI Solutions Architect

US Radiology Specialists

Raleigh, NC • On-site

$61.25 - $80.75/hr

Full-time

Posted yesterday

Job description

Lumexa Imaging is one of the country's largest providers of outpatient medical imaging. With over 5,000 team members and more than 185 outpatient imaging centers across 13 states, our team conducts more than 4 million outpatient studies annually. We are the partner of choice for health systems and radiologists, delivering best-in-class clinical excellence, operations, and state-of-the-art technology across our platform.
AI Solutions Architect
Role Overview
Lumexa Imaging is seeking an experienced AI Solutions Architect to lead the design and delivery of AI-driven solutions across business and operational functions. This role will report to the SVP of AI Integrations and work closely with the AI and IT teams, as well as the enterprise-wide AI Governance Council to intake requests, define solution approaches, and ensure seamless integration of AI into enterprise workflows.
This role requires a blend of enterprise solution architecture and hands-on AI implementation capability, with the ability to both design scalable solutions and independently build or prototype AI-driven workflows where needed.
The ideal candidate combines strong business acumen, deep understanding of enterprise system architecture, and the ability to translate ambiguous problem statements into scalable, practical AI solutions. While the primary focus is on business and operational use cases, familiarity with radiology and imaging workflows is highly preferred.
This role operates across the full lifecycle of AI initiatives, from intake and scoping through solution design, integration, and stakeholder alignment, supporting a structured pipeline of enterprise AI opportunities.
Key Responsibilities
  1. AI Solution Design & Architecture
  • Lead end-to-end solution design for AI use cases, from intake through implementation planning
  • Translate business problems into technical architectures, workflows, and system integration designs
  • Determine when to:
    • Leverage existing enterprise tools and platforms, vs.
    • Recommend new vendors, capabilities, or configuration changes
  • Define solution components including data flows, APIs, integrations, and user workflows
  1. Hands-on AI Development & Prototyping
  • Independently design, prototype, and implement AI-enabled solutions, particularly for LLM-driven and workflow-based use cases
  • Rapidly develop MVPs and proof-of-concepts to validate solution feasibility and business value
  • Configure and leverage enterprise AI tools (e.g., copilots, automation platforms, embedded AI features) to deliver solutions
  • Progress solutions from prototype to scalable implementation in collaboration with engineering where needed
  1. AI Project Intake & Scoping
  • Partner with stakeholders to clarify problem statements, desired outcomes, and success metrics
  • Conduct structured intake and scope feasibility, level of effort, and dependencies
  • Align proposed solutions with enterprise priorities, governance standards, and KPIs
  • Contribute to and help manage the AI project pipeline and prioritization process
  1. Workflow Integration & Optimization
  • Design solutions that integrate seamlessly into existing operational and clinical-adjacent workflows
  • Map current-state vs. future-state workflows and identify efficiency gains and automation opportunities
  • Ensure solutions are usable, scalable, and aligned with end-user needs
  • Partner with IT and operations teams to support implementation and adoption
  1. Stakeholder Management & Change Enablement
  • Serve as a key interface between business leaders, IT, clinical stakeholders, and vendors
  • Facilitate working sessions to gather requirements, validate designs, and drive alignment
  • Navigate a matrixed organization with competing priorities and stakeholders
  • Clearly communicate tradeoffs, risks, and recommendations
  1. Vendor & Technology Evaluation
  • Evaluate AI tools, platforms, and vendors for fit, scalability, security, and ROI
  • Develop recommendations including build vs. buy decisions
  • Partner with governance, legal, and security teams to support vendor selection and risk review
  1. Execution Support & Continuous Improvement
  • Collaborate with AI engineering and product teams to ensure effective execution of designed solutions
  • Monitor performance against defined KPIs and identify opportunities to improve outcomes
  • Contribute to evolving AI architecture standards, best practices, and playbooks

Required Qualifications
  • 5+ years of experience in solution architecture, enterprise systems, or technology consulting
  • Proven experience designing and implementing cross-system workflows and integrations
  • Strong understanding of:
    • Enterprise systems (e.g., ERP, CRM, RCM, scheduling, contact center)
    • APIs, data integration, and system interoperability
  • Demonstrated ability to translate business needs into technical solutions
  • Ability to leverage and configure underlying technical components (e.g., APIs, data flows, orchestration tools, and data sources) to independently design and implement AI-driven solutions, including LLM-based applications (e.g., prompt-driven workflows, copilots, document processing, or conversational interfaces)
  • Strong understanding of how to apply AI appropriately within enterprise workflows, including awareness of limitations, tradeoffs, and risks
  • Strong stakeholder management and communication skills across technical and business audiences
  • Ability to operate independently in ambiguous, fast-moving environments
  • Excellent project scoping, prioritization, and execution skills, with the ability to manage multiple concurrent initiatives and drive alignment across cross-functional stakeholders with varying levels of technical and operational fluency
  • Demonstrated ability and strong desire to continuously learn and adapt in a rapidly evolving AI landscape, including proactively staying current on emerging tools, capabilities, and best practices and translating that knowledge into practical enterprise applications

Preferred Qualifications
  • Experience scaling AI solutions from prototype to enterprise deployment
  • Familiarity with healthcare operations and radiology workflows (PACS, RIS, scheduling, center operations) a strong plus
  • Strong understanding of healthcare regulations (e.g., HIPAA, FDA) and compliance requirements related to AI in healthcare
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and tools relevant to AI and healthcare solutions
  • Experience in vendor evaluation, procurement, and solution selection
  • Exposure to AI governance, compliance, or data security considerations

Success Profile
  • Self-starter: Proactively identifies opportunities and drives work forward with minimal direction
  • Structured thinker: Brings clarity to ambiguous problems and defines actionable paths
  • Hands-on and pragmatic: Comfortable building and iterating on solutions directly to accelerate progress
  • Business-oriented: Focuses on practical, high-impact outcomes over theoretical solutions
  • Collaborative but decisive: Seeks input and effectively engages stakeholders while driving clarity
  • Orchestrator: Aligns diverse stakeholders and keeps parallel workstreams moving across a matrixed environment
  • Continuous learner: Maintains an open mindset and actively stays current on emerging AI capabilities, rapidly translating new developments into real-world use cases
  • Adaptable: Thrives in a fast-evolving AI and enterprise environment

Example Scope of Work
  • Automating back-office workflows (e.g., finance, RCM, HR, contact center)
  • Designing and deploying LLM-enabled workflow automation and decision support tools for operational efficiency
  • Integrating AI capabilities into existing enterprise systems
  • Supporting clinical-adjacent workflows (e.g., scheduling, reporting support, center operations)

Lumexa Imaging provides a competitive compensation program to attract, retain, and motivate a high-performance workforce.
Lumexa Imaging is an equal opportunity employer.

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