ZipRecruiter

Log In

1

Manager Ai Data Engineer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop and manage data architectures, including data lakes, data warehouses, and vector databases ... Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate ...

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... management) to AI applications • Build and maintain pipelines that load and refresh vector databases, document stores, and graph databases used by AI retrieval systems • Engineer data ...

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.

eTeam

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Job Summary : eTeam is looking for a Data Engineer specializing in AI and Data. The role involves ... Management (AI/Data Science) team to provide feature ready datasets. Qualifications : Required ...

Apple

AI Data Engineer

Cupertino, CA

$207K - $311K/yr

... management) to AI applications • Build and maintain pipelines that load and refresh vector databases, document stores, and graph databases used by AI retrieval systems • Engineer data ...

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

Support deployment and lifecycle management of AI/ML models, ensuring seamless integration with ... Innovation & Mentorship Provide technical mentorship on data engineering and integration best ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... manage datasets for model training, validation, and inference Collaborate with ML engineers and ... or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

You will work at the intersection of data engineering and AI, ensuring that high-quality, timely ... Self-motivated with ability to manage multiple priorities Who we are Schonfeld is a global multi ...

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 ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... manage datasets for model training, validation, and inference · Collaborate with ML engineers and ... AI projects · Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop) · ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

... manage datasets for model training, validation, and inference Collaborate with ML engineers and ... or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

You will work at the intersection of data engineering and AI, ensuring that high-quality, timely ... Self-motivated with ability to manage multiple priorities Who we are Schonfeld is a global multi ...

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 ... Design, develop, and manage data pipelines to handle and process large datasets with a focus on ...

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 ...

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 ...

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 ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... Lead and manage the AI & Data practice * Manage and steer the allocation of practice resources ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsDatabase Administrator JobsManager Ai Data Engineer Jobs

Manager Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 25, 2026, the average yearly pay for manager ai data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectManager Ai Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering, or related; certifications in cloud platforms or data toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentLeads data engineering teams, manages data pipelines, and collaborates with AI teamsAnalyzes data, builds models, and interprets data insights
Employer & Industry UsageTech companies, finance, healthcare focusing on data infrastructure and AI projectsResearch institutions, tech firms, marketing, and analytics departments

The Manager Ai Data Engineer primarily oversees data engineering teams and infrastructure for AI projects, while Data Scientists focus on analyzing data and building predictive models. Both roles require strong technical skills, but their responsibilities differ in scope and focus within the data ecosystem.

More about Manager Ai Data Engineer jobs

What cities are hiring for Manager Ai Data Engineer jobs?

Cities with the most Manager 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 Manager Ai Data Engineer jobs?

States with the most job openings for Manager Ai Data Engineer jobs include:

What job categories do people searching Manager Ai Data Engineer jobs look for?

The top searched job categories for Manager Ai Data Engineer jobs are:

Manager Ai Data Engineer jobs near you
Infographic showing various Manager Ai Data Engineer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Engineer

Detroit, MI

IntraEdge
IT Services • 1 - 5K employees
Learn more about IntraEdgeexternal

$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
IntraEdge logo

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

View All IntraEdge Jobs

Apply