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Vector Pipeline Jobs in Michigan (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... 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 ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions) * Oracle Database 23ai Vector Search: VECTOR data type, HNSW/IVF indexes, vector distance functions ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Design, build, maintain, and optimize scalable ML and Gen AI pipelines, architecture, and infrastructure, including vector databases, embedding stores, and LLM serving layers * Use machine learning ...

Deloitte

Google AI Lead Architect

Detroit, MI · On-site

$54.75 - $75/hr

... BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs ...

Optimal Inc.

Agentic AI Engineer

Warren, MI · On-site

Develop text-to-structured-data pipelines for automated knowledge extraction and workflow ... Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a ...

Amway

Sr AI Engineer

Ada, MI · On-site

$115K - $142K/yr

You'll work on agentic systems, retrieval-augmented generation (RAG) pipelines, and reusable AI ... Build and tune RAG systems (chunking strategies, embeddings, vector stores, hybrid search ...

Optimal Inc.

Agentic AI Engineer

Warren, MI · On-site

... pipelines for complex problem solvingBuild scalable context management frameworks to support ... as vector databases, APIs, and distributed systems is a plusStrong problem-solving skills and ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

... vector/hybrid search) with enterprise governance controls. * 2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ... Design for, or optimize existing pipelines, for performance and cost EEO EMPLOYER

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ... Design for, or optimize existing pipelines, for performance and cost EEO EMPLOYER

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Showing results 1-20

All JobsVector Pipeline JobsVector Pipeline Jobs in Michigan

Vector Pipeline information

See Michigan salary details

$83.7K

$121.3K

$146K

How much do vector pipeline jobs pay per year?

As of Aug 8, 2026, the average yearly pay for vector pipeline in Michigan is $121,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $145,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the vector pipeline position?

To excel in a Vector Pipeline role, candidates typically need a strong background in computer graphics, 3D pipeline development, and programming languages such as Python or C++. Familiarity with industry-standard tools like Autodesk Maya, Houdini, and version control systems is frequently required, along with knowledge of data formats and real-time rendering engines. Strong problem-solving skills, communication, and the ability to collaborate with multidisciplinary teams are invaluable soft skills. These capabilities enable efficient development and maintenance of art asset pipelines, ensuring smooth workflows for artists and technical teams in industries such as animation, gaming, or visual effects.

What is a vector pipeline?

A Vector Pipeline job typically involves managing the flow of vector data in computing processes, often related to graphics rendering, machine learning, or high-performance computing. This role focuses on optimizing how vectorized data is processed through parallel computing techniques, ensuring efficiency and speed. Professionals in this field work with specialized hardware, software frameworks, and algorithms to enhance computational performance.

What are the main responsibilities of a vector pipeline specialist?

A Vector Pipeline specialist is primarily responsible for developing, managing, and optimizing the processes that move graphical assets through different stages of a production. This includes creating scripts and tools to automate repetitive tasks, ensuring compatibility between software packages, and addressing technical issues that arise in the art pipeline. They frequently collaborate with artists, animators, and developers to streamline workflows and improve efficiency. In larger teams, they may also participate in planning meetings and help train other team members on pipeline tools and best practices. This multifaceted role is central to keeping projects on schedule and facilitating smooth creative collaboration.

What are popular job titles related to Vector Pipeline jobs in Michigan? For Vector Pipeline jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Vector Pipeline jobs in Michigan look for? The top searched job categories for Vector Pipeline jobs in Michigan are:
What cities in Michigan are hiring for Vector Pipeline jobs? Cities in Michigan with the most Vector Pipeline job openings:
Vector Pipeline jobs near you
Infographic showing various Vector Pipeline job openings in Michigan as of August 2026, with employment types broken down into 55% Full Time, 9% Part Time, and 36% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $121,345 per year, or $58.3 per hour.

AI Data Engineer

IntraEdge

Detroit, MI • On-site

$113K - $136K/yr

Full-time

Re-posted 29 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

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