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Executive Ai Data Engineer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and ...

Conch Technologies Inc

AI Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

AI Data Engineer Location: Frisco, TX or Louisville, KY (Hybrid) Duration: 12+ Months Note : Only W2 No C2C We are looking for an experienced AI Data Engineer to join a growing enterprise data team.

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time. Description The AI Data ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard Skills 1. Reporting & Analytics - 5+ Years * Minimum 5 years of experience designing and developing ...

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

Job Type Full-time Unionized Position Code Not Applicable The AI Data Engineer leverages AI-assisted tools (e.g., code generation, chat-style assistants, agentic workflows) to accelerate pipeline ...

Apple

AI Data Engineer

Cupertino, CA

$207K - $311K/yr

The AI Data Engineer owns the pipelines, data feeds, and integration infrastructure that ensure AI applications have the right data, in the right form, at the right time. Description The AI Data ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

CLPS Global

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role - AI Data Engineer Location - NYC, NY- Hybrid (Local candidates only) Employment Type: Fulltime Experience: 9+ years Mandatory Skills: Python, Data Engineering, ETL/ELT, Data Pipelines, LLM ...

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience with AI-assisted engineering tools, Copilot/Agentic platforms, and automated report generation. 3. Data Engineering - 5+ Years * Minimum 5 years of experience in data engineering and data ...

Broward Health

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Broward Health is a healthcare organization focused on providing quality services, and they are seeking an AI Data Engineer. The role involves designing and maintaining data pipelines for AI model ...

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Share this job: Share: Share Generative AI Data Engineer III with Facebook Share Generative AI Data Engineer III with LinkedIn Share Generative AI Data Engineer III with Twitter Caution against ...

Lorven Technologies

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Role- AI Data Engineer Location- NYC, NY- Hybrid Duration: Full Time Required Qualifications * Strong experience in Python application development . * Strong background in data engineering, data ...

CLPS Global

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role - AI Data Engineer Location - NYC, NY - Hybrid FTE No openings - 2 Required 9+ Years of experience Looking for visa independent candidates. Required Qualifications * Strong experience in Python ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

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Executive Ai Data Engineer information

See salary details

$51.5K

$147.5K

$197K

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

As of Aug 25, 2026, the average yearly pay for executive ai data engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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

AspectExecutive Ai Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering, or related fields; certifications in cloud platforms or data toolsBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, cloud platforms, large-scale data systemsResearch teams, analytics departments, data modeling environments
Industry UsageTech, finance, healthcare, where data pipelines and infrastructure are criticalResearch, marketing, product development, where insights and models are key

The Executive Ai Data Engineer focuses on building and maintaining data infrastructure and pipelines, often in leadership roles, while Data Scientists analyze data to generate insights and develop models. Both roles require strong technical skills, but their core responsibilities differ in scope and focus.

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Cities with the most Executive Ai Data Engineer job openings:

What are the most commonly searched types of Ai Data Engineer jobs?

The most popular types of Ai Data Engineer jobs are:

What states have the most Executive Ai Data Engineer jobs?

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Executive Ai Data Engineer jobs near you
Infographic showing various Executive Ai Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

AI Data Engineer

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Re-posted 16 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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