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

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... This role works closely with solution architects and platform teams to ensure AI solutions are ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... This role works closely with solution architects and platform teams to ensure AI solutions are ...

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ... Participate in architectural and deployment discussions to ensure solutions are designed for ...

Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines ...

We expect technical rigor, architecture discipline, strong product judgment, and a track record of ... Strong applied AI and software engineering fundamentals * Builders who can span tech, product, and ...

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role ... Architects to ensure these systems are reliable, scalable, and cost-effective across tax, audit ...

New

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next ... Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models ...

Senior AI Engineer

Raleigh, NC · On-site

$140 - $190/hr

You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to ...

Posted today

AI Architect

Raleigh, NC · On-site

$64.50 - $77.75/hr

The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders ... patterns, architecture patterns Experience in developing and applying generative AI models.

Senior AI Engineer

Cary, NC · On-site

$96K - $132K/yr

As a Senior Gameplay AI Engineer, you'll play a critical role on a small, focused team. You'll own ... and architectural design. As we continue to build our Engine technology and develop remarkable ...

Senior Applied AI Engineer

Durham, NC · On-site

$101K - $138K/yr

Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear ... MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related ...

Sr. Applied AI Engineer (Claude/Codex)

Raleigh, NC · On-site

$119K - $157K/yr

You Are As an Applied AI team member at Accenture, you will be a Pre-Sales architect focused on ... The Work Working closely with our Sales, Product, and Engineering teams, you'll guide customers ...

New

Own the end-to-end lifecycle of AI solutions, from requirements and architecture through deployment ... AI Process Engineering Analyzing current workflows, documenting business operations, and ...

Own the end-to-end lifecycle of AI solutions, from requirements and architecture through deployment ... AI Process Engineering Analyzing current workflows, documenting business operations, and ...

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Showing results 1-20

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:
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.

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

272nd of 441 rated engineering


Job description

Description

Your role at GEI. 
 
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
 
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
 
Essential Responsibilities & Duties 
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications  
  • 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $110,000.00– $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
 
Standing
 
 
 
Walking
 
 
 
Climbing
 
 
 
Lifting (floor to waist level) (in pounds)
 
 
 
Lifting (waist level and above) (in pounds)
 
 
 
Carrying objects
 
 
 
Push/pull
 
 
 
Twisting
 
 
 
Bending
 
 
 
Reaching forward
 
 
 
Reaching overhead
 
 
 
Squat/kneel/crawl
 
 
 
Wrist position deviation
 
 
 
Pinching/fine motor skills
 
 
 
Keyboard use/repetitive motion
 
 
 
Taste or smell (taste=never)
 
 
 
Talk or hear
 
 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
Far Vision
 

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