Top 34 Principal data architect Jobs in Raleigh Nc

Principal AI Architect
First Citizens Bank —Raleigh, NC
- $160,000 - $240,000 a year
- Full-time
- Remote
- Computer Science
- High school diploma or GED
- SQL
Morpheus Software Principal UI/UX engineer
Hewlett Packard Enterprise —Durham, NC
- $160,000 - $303,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
Principal Enterprise Data Analyst
First Citizens Bank —Raleigh, NC
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Principal Enterprise Architect - Remote
CSAA Insurance Services, Inc. —Raleigh, NC
- $186,660 - $248,750 a year
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
- 401(k) matching
1d
Principal Data Architect
First Citizens Bank —Raleigh, NC
- Full-time
- Remote
- High school diploma or GED
- Bachelor's degree
- Senior level
Principal Software Engineer, Distributed Systems Engineer - DGX Cloud
NVIDIA —Durham, NC
- $272,000 - $431,250 a year
- Full-time
- Computer Science
- Bachelor of Science
- 11+ years
Principal Software Architect
eClinical Solutions —Durham, NC
- $168,000 - $210,000 a year
- Remote
- Azure
- System design
- Research
Quick Apply
5d
Cloud Senior Principal Engineer
University of North Carolina System —Raleigh, NC
- Full-time
- System design
- Office
- Master's degree
Principal Enterprise Architect -Resiliency & Platform Engineering (Remote)
First Citizens Bank —Raleigh, NC
- $155,000 - $250,000 a year
- Full-time
- Remote
- Data analysis skills
- High school diploma or GED
- Bachelor's degree
Principal Consultant
Appian Corporation —Raleigh, NC
- $100,000 - $225,000 a year
- Remote
- 7 years
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Disability insurance
Quick Apply
Principal Software Engineer
CVS Health —Raleigh, NC
- $144,200 - $288,400 a year
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
Principal Machine Learning Engineer I
LexisNexis —Raleigh, NC
- $136,100 - $252,800 a year
- Full-time
- Computer Science
- System design
- Master's degree
Principal Systems Engineer - VMware Cloud Foundation (Remote)
First Citizens Bank —Raleigh, NC
- $170,000 - $199,000 a year
- Full-time
- Remote
- Azure
- Windows
- Master's degree
Principal Data Plane Engineer
Xsight Labs —Durham, NC
- Software troubleshooting
- Office
- APIs
Quick Apply
Principal Facets Application System Analyst
Blue Cross and Blue Shield of North Carolina —Durham, NC
- $118,691 - $189,906 a year
- Full-time
- Hybrid work
- Office
- 8 years
- Analysis skills
- Health insurance
- Dental insurance
7d
Principal Solution Architect - GIS - Utilities
TRC Companies, Inc. —Raleigh, NC
- $175,656 - $198,000 a year
- Full-time
- Computer Science
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Principal Software Engineer - Cisco IQ Validation (Hybrid)
Cisco Systems —Research Triangle Park, NC
- $223,100 - $416,900 a year
- Full-time
- Hybrid work
- Computer Science
- 11+ years
- Research
- Paid parental leave
- Paid holidays
Principal Machine Learning Engineer I
RELX —Raleigh, NC
- $136,100 - $252,800 a year
- Full-time
- Computer Science
- System design
- Master's degree
Principal Cloud Solutions Architect - Presales - Hyperscaler
NetApp —Morrisville, NC
- $223,550 - $289,300 a year
- Computer science
- Azure
- Computer Science
- Employee stock purchase plan
- Health insurance
2d
Software Developer Principal
General Dynamics Information Technology —Raleigh, NC
- $123,250 - $166,750 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid time off
- 401(k) matching

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Principal AI Architect

First Citizens Bank -
Raleigh, NC

Apply Now

Job Details

Full-time
$160,000 - $240,000 a year

Qualifications

AI models
Application Architecture Design (Architecture design skill)
AI platforms (beyond public GPTs)
SQL
Machine learning cloud services
Machine intelligence
Systems engineering
Computer networking
Cloud Native Design
Python
Generative AI

Full 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 & Qualifications:

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

Key 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:
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).

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Preferred:

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.

Additional Information:

If hired in NC, the base pay for this position is generally between $160,000 and $240,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

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.

Apply Now

Refine Your Search

principal data architect jobs in raleigh nc

Principal AI Architect

Morpheus Software Principal UI/UX engineer

Principal Enterprise Data Analyst

Principal Enterprise Architect - Remote

Principal Data Architect

Principal Software Engineer, Distributed Systems Engineer - DGX Cloud

Principal Software Architect

Cloud Senior Principal Engineer

Principal Enterprise Architect -Resiliency & Platform Engineering (Remote)

Principal Consultant

Principal Software Engineer

Principal Machine Learning Engineer I

Principal Systems Engineer - VMware Cloud Foundation (Remote)

Principal Data Plane Engineer

Principal Facets Application System Analyst

Principal Solution Architect - GIS - Utilities

Principal Software Engineer - Cisco IQ Validation (Hybrid)

Principal Machine Learning Engineer I

Principal Cloud Solutions Architect - Presales - Hyperscaler

Software Developer Principal

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