AI Data Engineer Jobs
AI Data Engineer jobs are open across technology, healthcare, financial services, and retail, from entry-level to staff and principal, with specializations in machine learning pipelines, feature stores, and real-time data infrastructure. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,180+ AI Data Engineer jobs
Our Vision: Be the best at what we do. Our Mission: Improve lives through technology.
Summary:
“Customer Inspired” isn’t our slogan — it’s our driving force, and C Spire team members live it. We aim to engage the exceptional and embrace operational excellence to best deliver connectivity and technology solutions that advance our communities and customers’ lives. It’s a challenging goal, but we have a winning team that is looking to grow.As an Artificial Intelligence Intern, you will work alongside our AI team to explore, build, test, and improve practical AI-powered solutions that solve real business problems. You will gain hands-on experience applying artificial intelligence, large language models, automation, and modern development tools in a real telecommunications and technology environment. You will work with team members and business partners to understand workflows, identify opportunities for AI, develop prototypes, and evaluate solutions based on real-world results.
This position is for a Summer Internship in 2026, located at our Corporate Office in Ridgeland, MS.
Responsibilities:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
Qualifications:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
If you want to work hard, achieve a lot, and make a difference, then C Spire is the place for you.
Our Vision: Be the best at what we do. Our Mission: Improve lives through technology.
Summary:
“Customer Inspired” isn’t our slogan — it’s our driving force, and C Spire team members live it. We aim to engage the exceptional and embrace operational excellence to best deliver connectivity and technology solutions that advance our communities and customers’ lives. It’s a challenging goal, but we have a winning team that is looking to grow.As an Artificial Intelligence Intern, you will work alongside our AI team to explore, build, test, and improve practical AI-powered solutions that solve real business problems. You will gain hands-on experience applying artificial intelligence, large language models, automation, and modern development tools in a real telecommunications and technology environment. You will work with team members and business partners to understand workflows, identify opportunities for AI, develop prototypes, and evaluate solutions based on real-world results.
This position is for a Summer Internship in 2026, located at our Corporate Office in Ridgeland, MS.
Responsibilities:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
Qualifications:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
If you want to work hard, achieve a lot, and make a difference, then C Spire is the place for you.
AI Data Engineer Jobs by Experience Level
Top Cities Hiring AI Data Engineers
Explore AI data engineer openings in the cities hiring most right now.
See All 1,180+ AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Job Market
Who's Hiring
- Amazon Web Services51
- JPMorganChase31
- Apple25
- Google25
- Amazon21
Top Industries Hiring
- Technology & Software37
- Education14
- Insurance9
- Consulting & Professional Services9
- Electronics & Hardware7
What Employers Look For
The qualifications that appear most often in AI data engineer jobs.
- Proficiency in Python and SQL for data pipeline development and transformation
- Experience building and maintaining ML feature pipelines or data platforms at scale
- Hands-on work with orchestration tools such as Apache Airflow, Prefect, or Dagster
- Familiarity with cloud data platforms including AWS, GCP, or Azure data services
- Knowledge of streaming frameworks such as Apache Kafka or Apache Flink
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your AI Data Engineer Job Search
Tailor your resume to pipeline depth
Hiring managers for ai data engineer roles want to see end-to-end ownership, not just tool lists. Show exactly which stages of a data pipeline you designed, the scale it ran at, and the business outcome it supported.
Highlight ML pipeline tooling explicitly
Generic 'data engineering' resumes get filtered out before a human reads them. Call out specific orchestration tools like Airflow or Prefect, feature stores like Feast, and model-serving infrastructure so your resume clears automated screening.
Target roles by data stack, not just title
AI data engineer job descriptions vary widely. Filter openings by the specific stack you know best, whether that's Spark and Databricks, dbt and Snowflake, or Kafka and Flink, so you apply where your experience maps cleanest.
Apply early to roles that fit
Migrate Mate lists ai data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prep for system design at the data layer
Most ai data engineer interviews include a system design round focused on designing scalable feature pipelines or real-time ingestion systems. Practice scoping data freshness requirements, partitioning strategies, and failure-recovery patterns before your interview.
Negotiate with infrastructure cost data
When you reach the offer stage, frame your value around measurable infrastructure outcomes you have delivered, such as reduced query latency or lower cloud compute costs. Concrete cost or reliability numbers strengthen your position more than general experience claims.
AI Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai data engineers?
The companies hiring the most ai data engineers right now include Amazon Web Services, JPMorganChase, and Apple, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology, financial services, and healthcare organizations investing in production machine learning systems.
How many ai data engineer jobs are remote?
About 75% of ai data engineer openings are fully remote or hybrid as of September 2026, reflecting strong remote adoption across data infrastructure roles. Sub-areas focused on cloud-native pipeline development and ML platform engineering tend to have the highest share of fully remote positions, since the work is tool-driven and asynchronous by nature.
How do you become an ai data engineer?
Start by building strong fundamentals in Python, SQL, and distributed data systems, then move into hands-on work with orchestration tools and cloud data platforms. Contributing to open-source data projects or building a portfolio of end-to-end ML pipelines demonstrates practical ability. Many practitioners transition from data engineering or software engineering roles by taking on ML infrastructure work within their current team before moving into a dedicated ai data engineer position.
Can you get an ai data engineer job with little experience?
Entry-level ai data engineer roles exist, but they usually require demonstrated pipeline-building ability even without years of professional experience. Building and publishing at least one project that ingests real data, runs transformations, and feeds a model endpoint does more for your candidacy than certifications alone. Applying to companies actively expanding their ML platform teams increases your chances, since those teams often hire candidates who show strong fundamentals and can grow into the role.
What does the ai data engineer interview process look like?
Most ai data engineer interviews include a recruiter screen, a technical phone interview covering Python and SQL, a system design round focused on designing data or feature pipelines at scale, and a final loop with engineering and data science stakeholders. Some companies add a take-home component asking you to build or debug a pipeline. Behavioral questions typically probe cross-functional collaboration with data scientists and ML engineers.
Where can I find and apply to ai data engineer jobs?
You can find and apply to ai data engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
See All 1,180+ AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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