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Prototyping Jobs in Raleigh, NC (NOW HIRING)

Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems. Architect end-to-end MLOps capabilities, including model lifecycle management, CI/CD for ML, feature stores ...

You'll be helping us build things, taking an idea, and creating rapid prototypes that are shippable and learn from real-life feedback. * You are a self-starter, who actively challenges status-quo, is ...

Android Mobile Application Developer

Durham, NC · On-site

$53.75 - $70.75/hr

Mobile application software development, design and prototyping. Program daily in Swift / Android to develop consumer facing mobile apps. Establish design patterns and then mentor team members on ...

AI Application Development & Product Prototyping * Design, build, and iterate on AI-enabled applications, prototypes, internal tools, APIs, services, and proof-of-concepts. * Develop working ...

AI Application Development & Product Prototyping * Design, build, and iterate on AI-enabled applications, prototypes, internal tools, APIs, services, and proof-of-concepts. * Develop working ...

AI/ML Intern

Durham, NC · On-site +1

$14.50 - $19.25/hr

As an intern, you will contribute to real AI projects from day one-designing and building RAG pipelines, prototyping agentic workflows, and integrating LLMs into our product ecosystem. You will ...

As an intern, you will contribute to real AI projects from day one--designing and building RAG pipelines, prototyping agentic workflows, and integrating LLMs into our product ecosystem. You will ...

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Prototyping information

See Raleigh, NC salary details

$12

$23

$37

How much do prototyping jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for prototyping in Raleigh, NC is $23.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $27.64 per hour, depending on experience, location, and employer.

What is prototyping?

Prototyping is the process of creating an early sample, model, or release of a product to test and validate ideas before full-scale production or development. It allows designers, engineers, and stakeholders to explore concepts, identify potential issues, and gather user feedback in the early stages of a project. Prototypes can range from simple paper sketches to interactive digital models or functional physical items, depending on the project's needs. This iterative approach helps save time and resources by uncovering improvements and reducing risks before committing to final designs.

What is the difference between Prototyping vs UX Designer?

AspectPrototypingUX Designer
Primary FocusCreating interactive models of products or featuresResearching, designing, and improving user experiences
Skills & ToolsPrototyping tools (e.g., Figma, Adobe XD), UI designUser research, wireframing, usability testing
Work EnvironmentDesign teams, product developmentDesign teams, user research teams
CredentialsDesign background, proficiency in prototyping toolsDesign or psychology background, UX certifications

Prototyping involves creating interactive models to test ideas, while UX Design encompasses the broader process of understanding user needs and designing overall user experiences. Both roles often collaborate but focus on different stages of product development.

What are the key skills and qualifications needed to thrive as a Prototyping Specialist, and why are they important?

To thrive as a Prototyping Specialist, you need a solid background in design principles, engineering fundamentals, and hands-on fabrication, often supported by a degree in industrial design or engineering. Familiarity with CAD software, 3D printing technology, CNC machines, and rapid prototyping tools is typically required. Creativity, problem-solving, and effective communication distinguish standout professionals in this role. These skills are crucial for efficiently translating ideas into tangible models, iterating designs, and collaborating with cross-functional teams in product development.

What are some common challenges faced in a prototyping role, and how can they be addressed?

Professionals in prototyping often encounter challenges such as rapidly iterating ideas within tight deadlines, balancing functionality with available resources, and effectively communicating design intent to cross-functional teams. To overcome these, it's helpful to prioritize clear documentation, maintain open communication with engineers and designers, and use agile methodologies to adapt quickly to feedback. Embracing a collaborative mindset and being comfortable with ambiguity are key to navigating the dynamic nature of prototyping work.
What are popular job titles related to Prototyping jobs in Raleigh, NC? For Prototyping jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Prototyping jobs in Raleigh, NC look for? The top searched job categories for Prototyping jobs in Raleigh, NC are:
Infographic showing various Prototyping job openings in Raleigh, NC as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $49,799 per year, or $23.9 per hour.
Principal AI Architect

Principal AI Architect

First Citizens Bank

Raleigh, NC • On-site

Full-time

Posted 4 days ago


First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks


Job description

Overview
The Principal AI Architect is a senior technical leadership role responsible for defining and governing enterprise-wide AI, GenAI, and MLOps architecture. This role sets the long-term vision, reference architectures, and reusable patterns for scalable, secure, and responsible AI adoption across the organization. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications.
Responsibilities
Enterprise AI & GenAI Architecture
  • Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions.
  • Establish standardized architectural patterns for model serving, prompt management, orchestration, tool use, and agent frameworks.
  • Lead architecture decisions for buy vs. build, model selection, hosting strategies, and vendor integrations.
  • Ensure AI architectures align with enterprise standards, cloud strategy, security, and governance.

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 management, CI/CD for ML, feature stores, model monitoring, and drift detection.
  • Define enterprise patterns for training, fine-tuning, deployment, and observability of ML and GenAI workloads.
  • Guide teams on productionizing PoCs into scalable, resilient, and supportable AI systems.
  • Partner with platform teams to evolve a shared enterprise AI platform.

AWS-Centric AI Architecture
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):
  • Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • S3, DynamoDB, Aurora, OpenSearch
  • IAM, KMS, VPC, CloudWatch
  • Define cost, performance, and scalability guardrails for AI workloads on AWS.
  • Ensure architectures follow Well-Architected Framework principles.

Governance, Risk, and Responsible AI
  • Partner with security, legal, and compliance teams to define AI governance, guardrails, and controls.
  • Embed responsible AI principles, data privacy, and explainability into enterprise designs.
  • Establish standards for model access, auditability, and risk management.

Technical Leadership & Influence
  • Act as a principal-level advisor to senior technology and business leaders.
    Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
  • Mentor architects and senior engineers on AI architecture and MLOps best practices.
  • Drive alignment across teams by publishing reference architecture, design standards, and decision frameworks.
  • Represent the organization in architecture forums, reviews, and strategic initiatives.

Qualifications
Bachelor's Degree and 10 years of experience in Application Development, Systems Engineering, or Information Technology management OR High School Diploma or GED and 14 years of experience in Application Development, Systems Engineering, or Information Technology management
Preferred Qualifications:
• 10+ years of experience in enterprise architecture, data platforms, or distributed systems.
• Deep expertise in AI/ML architecture, including GenAI and LLM-based systems.
• Strong experience designing MLOps platforms and enterprise AI foundations.
• Proven experience architecting solutions on AWS.
• Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
• Strong understanding of cloud security, networking, and governance.
• Proficiency in Python, SQL, and modern data frameworks (e.g., Databricks, Airflow, Snowflake, Vertex AI).
• Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains.
• Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
• Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
• Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.
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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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