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Ai Risk Manager Jobs in Raleigh, NC (NOW HIRING)

Overview The Principal AI Architect is a senior technical leadership role responsible for defining ... Establish standards for model access, auditability, and risk management. Technical Leadership ...

Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own AI investment ...

Managing project activities, deliverables, timelines, and stakeholder expectations across ... By leveraging next-generation processes, scalable data platforms, and AI, our team delivers ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Support management of workstreams on complex engagements, partnering with client counterparts and ...

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

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Ai Risk Manager information

See Raleigh, NC salary details

$50.1K

$108.4K

$165.3K

How much do ai risk manager jobs pay per year?

As of Jul 18, 2026, the average yearly pay for ai risk manager in Raleigh, NC is $108,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $125,400.00 per year, depending on experience, location, and employer.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Raleigh, NC? For Ai Risk Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Raleigh, NC look for? The top searched job categories for Ai Risk Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Risk Manager jobs? Cities near Raleigh, NC with the most Ai Risk Manager job openings:
Principal AI Architect

$160K - $240K/yr

Full-time

Posted 12 days ago


First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 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.

#LI-XG1

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.

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.

#LI-XG1

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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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