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Ai Engineer Architect Jobs in Raleigh, NC (NOW HIRING)

US Radiology Specialists

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

AI Solutions Architect Role Overview Lumexa Imaging is seeking an experienced AI Solutions ... Collaborate with AI engineering and product teams to ensure effective execution of designed ...

Lumexa Imaging, Inc.

AI Solutions Architect

Raleigh, NC · On-site

$120 - $160/hr

AI Solutions Architect Role Overview Lumexa Imaging is seeking an experienced AI Solutions ... Collaborate with AI engineering and product teams to ensure effective execution of designed ...

New

Infosys Limited Digital

AI Architect

Raleigh, NC · On-site

Job details Job Role Architecture Consultant 2 Career Role Technology Architect - US Work Location ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

AI Platform Engineering & MLOps * Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems. Architect end-to-end MLOps capabilities, including model lifecycle ...

First Citizens Bank

Principal AI Architect

Raleigh, NC

$160K - $240K/yr

AI Platform Engineering & MLOps * Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems. Architect end-to-end MLOps capabilities, including model lifecycle ...

Infosys Limited

Enterprise Architect

Raleigh, NC · On-site

$180 - $240/hr

... Engineering|AI/ML Solution Architecture and Design Technical Skills 4 Technology|Cloud Integration and API Management|Cloud Integration and API Management - ALL Overview The Strategic Technology ...

New

Infosys Limited Digital

Enterprise Architect

Raleigh, NC · On-site

$67 - $86.50/hr

... Engineering|AI/ML Solution Architecture and Design Technical Skills 4 Technology|Cloud Integration and API Management|Cloud Integration and API Management - ALL Overview The Strategic Technology ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

Overview The Principal AI Architect is a senior technical leadership role responsible for defining ... This role combines strong hands-on engineering with strategic innovation to design, prototype, and ...

First Citizens Bank

Senior AI Architect

Raleigh, NC

Overview The Senior AI Architect leads the design and implementation of cutting-edge AI platforms ... This role combines strong hands-on engineering with strategic innovation to design, prototype, and ...

First Citizens Bank

Senior AI Architect

Raleigh, NC · On-site

Overview The Senior AI Architect leads the design and implementation of cutting-edge AI platforms ... This role combines strong hands-on engineering with strategic innovation to design, prototype, and ...

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All JobsAi Engineer Architect JobsAi Engineer Architect Jobs in Raleigh, NC

Ai Engineer Architect information

How does an AI engineer architect typically collaborate with cross-functional teams during project development?

AI Engineer Architects regularly work alongside data scientists, software engineers, product managers, and business stakeholders to design and implement AI-driven solutions. They are responsible for translating complex business requirements into scalable AI architectures, guiding project direction, and ensuring technical feasibility. Collaboration often involves leading technical discussions, conducting code and architecture reviews, and providing mentorship to junior AI engineers. Effective communication and teamwork are essential, as AI Engineer Architects must align AI initiatives with broader organizational goals.

What is an AI engineer architect?

AI Engineer Architects are professionals who design, develop, and oversee the implementation of artificial intelligence solutions within organizations. They combine expertise in AI technologies, such as machine learning and deep learning, with architectural skills to create scalable, robust, and efficient AI systems. Their responsibilities often include selecting appropriate AI frameworks, ensuring data pipelines are optimized, and collaborating with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals.

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

To thrive as an AI Engineer Architect, you need deep expertise in computer science, machine learning, algorithm development, and system architecture, often supported by advanced degrees and experience in AI project delivery. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or GCP), and relevant certifications (e.g., Google Professional Machine Learning Engineer) is typically required. Strong communication, problem-solving, and leadership skills help you bridge technical and business requirements and guide teams effectively. These skills are crucial for designing scalable, innovative AI solutions that align with organizational goals and drive successful implementation.

What is the difference between Ai Engineer Architect vs Data Scientist?

AspectAi Engineer ArchitectData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI architectures, developing models, integrating AI solutionsAnalyzing data, building predictive models, deriving insights
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in AI and machine learning, Ai Engineer Architects focus on designing and implementing AI systems and architectures, whereas Data Scientists analyze data to generate insights and build models. The roles often overlap but differ mainly in scope and responsibilities.

What are popular job titles related to Ai Engineer Architect jobs in Raleigh, NC? For Ai Engineer Architect jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Architect jobs in Raleigh, NC look for? The top searched job categories for Ai Engineer Architect jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Engineer Architect jobs? Cities near Raleigh, NC with the most Ai Engineer Architect job openings:
Ai Engineer Architect jobs near you
Infographic showing various Ai Engineer Architect job openings in Raleigh, NC as of June 2026, with employment types broken down into 79% Full Time, 15% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution.

AI Solutions Architect

US Radiology Specialists

Raleigh, NC • On-site

$61.25 - $80.75/hr

Full-time

Re-posted 13 days ago

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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