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Manager Ai Data Engineer Jobs (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

AI Data Engineer 20729 Detroit, 10/13/2025 9:29:00 AM Data Engineering FTE - IntraEdge We are ... Develop and manage data architectures, including data lakes, data warehouses, and vector databases ...

AIT Global inc.

AI Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

The AI Data Engineer will specialize in building and optimizing machine learning data pipelines, focusing on AI model tracking, lifecycle management, and integration with AI governance systems. This ...

Radar Hire LLC

$84K - $101K/yr

... data management Ensure data integrity, quality, and governance Automate data ingestion ... AI Data Engineers #J-18808-Ljbffr

Smart IT Frame LLC

AI Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

The AI Data Engineer will specialize in building and optimizing machine learning data pipelines, focusing on AI model tracking, lifecycle management, and integration with AI governance systems. This ...

New

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support ... Strong knowledge of data pipeline design, ETL processes, and database management. * Proficiency in ...

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 ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support ... Strong knowledge of data pipeline design, ETL processes, and database management. * Proficiency in ...

Apple Inc.

Description As the Engineering Manager, AI Data Platforms & Quality within the MSI organization, you will lead the team's expanded charter to build next-generation AI data products, data platforms ...

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 ...

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 ...

Cinteot Inc.

AI Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

The AI Data Engineer is responsible for building and operating high‑quality, governed, and ... This role focuses on preparing data for retrieval‑augmented generation (RAG), managing embeddings ...

New

SCALIS

WI · On-site

$111K - $134K/yr

The AI Data Engineer is responsible for building and operating high‑quality, governed, and ... This role focuses on preparing data for retrieval‑augmented generation (RAG), managing embeddings ...

Flexjet

AI Data Engineer

Cleveland, OH

$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) · ...

ASTM International

$84K - $101K/yr

The AI & Data Engineer will design, build, and maintain AI and data tools that support the team ... Demonstrated project management experience, including using project management tools to improve ...

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 ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Lead and manage the AI & Data practice * Manage and steer the allocation of practice resources ... Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based ...

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 ...

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Manager Ai Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 15, 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.

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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:

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For Manager Ai Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Manager Ai Data Engineer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Engineer

Detroit, MI • On-site

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

$113K - $136K/yr

Full-time

Re-posted 7 days ago

Job description

AI Data Engineer 20729 Detroit, 10/13/2025 9:29:00 AM
Data Engineering
FTE - IntraEdge
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 Requirements
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.
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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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