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Ai Ml Data Engineer Jobs in Raleigh, NC (NOW HIRING)

GEI Consultants

AI Engineer

Cary, NC · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML ...

Northern Base

AI Solution Lead

Cary, NC · On-site

... AI/ML, Software Engineering, or Cloud-Native Application Development (13+ years overall IT ... tuning, and data engineering best practices ✔ Experience collaborating with cross-functional ...

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All JobsAi Ml Data Engineer JobsAi Ml Data Engineer Jobs in Raleigh, NC

Ai Ml Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do ai ml data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai ml data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is an AI ML data engineer?

AI/ML Data Engineers are professionals who design, build, and maintain data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) applications. They are responsible for collecting, cleaning, and organizing large datasets, ensuring data quality, and enabling data scientists and ML engineers to develop and deploy models efficiently. Their work often involves using programming languages like Python or Scala, big data technologies, and cloud platforms. In essence, AI/ML Data Engineers bridge the gap between raw data and actionable insights in AI and ML projects.

What are the key skills and qualifications needed to thrive as an AI ML data engineer, and why are they important?

To thrive as an AI/ML Data Engineer, you need a strong background in computer science, proficiency in programming languages like Python or Scala, and experience with data modeling, ETL pipelines, and machine learning concepts. Familiarity with big data tools (such as Hadoop, Spark), cloud platforms (AWS, GCP, Azure), and relevant certifications like Google Professional Data Engineer or AWS Certified Machine Learning are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively within cross-functional teams and translate business needs into technical solutions. These skills ensure you can efficiently build scalable data architectures and support robust AI/ML solutions that drive business innovation.

What are some common challenges faced by AI ML data engineers when working on large-scale machine learning projects?

AI/ML Data Engineers often encounter challenges such as managing and optimizing massive datasets, ensuring data quality and consistency, and maintaining efficient data pipelines. They must also handle the integration of diverse data sources and collaborate closely with data scientists and software engineers to deploy machine learning models into production. Addressing scalability and performance bottlenecks is a frequent part of the role, requiring strong problem-solving skills and familiarity with distributed computing frameworks.

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

AspectAi Ml Data EngineerData Scientist
Primary FocusBuilding data pipelines, deploying ML models, managing data infrastructureAnalyzing data, developing models, deriving insights
Skills & CertificationsProgramming (Python, SQL), cloud platforms, data engineering toolsStatistics, machine learning, data analysis, Python/R
Work EnvironmentData engineering teams, cloud environments, big data platformsResearch teams, analytics departments, business units

While both roles involve working with data and machine learning, Ai Ml Data Engineers focus on building and maintaining data pipelines and deploying models, whereas Data Scientists primarily analyze data and develop predictive models. The roles often collaborate but serve different functions within data projects.

What are popular job titles related to Ai Ml Data Engineer jobs in Raleigh, NC?

For Ai Ml Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Ml Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Ai Ml Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Ml Data Engineer jobs?

Cities near Raleigh, NC with the most Ai Ml Data Engineer job openings:

Ai Ml Data Engineer jobs near you

Director Application Development & Support

First Citizens Bank

Raleigh, NC • On-site

Full-time

Re-posted 7 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 172 rated banks

Job description

Overview

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle—from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders—ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value. 


Responsibilities

AWS AI/ML Platform Ownership

  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation. 
  • Continuously enhance the platform’s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines. 
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design. 

Machine Learning & GenAI Execution

  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

 

Data & Engineering Collaboration

  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

 

Model Governance & Risk Compliance

  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks. 
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform’s core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery. 
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

 

Team Building & Leadership

  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies. 
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1


Qualifications

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:

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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