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Ai Data Engineer Jobs (NOW HIRING)

AI Data Engineer

Owings Mills, MD · Hybrid

$109K - $131K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging ...

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

AI Data Engineer Location : New York (its day 1 onsite) Long Term Description We are seeking a highly skilled and innovative Data & AI Engineer to design, build, and deploy scalable data solutions ...

IT S Data and AI Engineering Req #: 0000247939 Status: Salaried Shift: Day Pay Range: $75,597.00 - $106,780.00 per year Pay Transparency: The above reflects the anticipated annual salary range for ...

AI Data Engineer II

Oceanport, NJ · On-site

$75K - $106K/yr

IT S Data and AI Engineering Req #: 0000247939 Status: Salaried Shift: Day Pay Range: $75,597.00 - $106,780.00 per year Pay Transparency: The above reflects the anticipated annual salary range for ...

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking an experienced AI Data Engineer to join their Data Engineering team, responsible for designing and maintaining robust data pipelines that support their internal AI platform, SchonAI.

IT S Data and AI Engineering Req #: 0000247939 Status: Salaried Shift: Day Pay Range: $75,597.00 - $106,780.00 per year Pay Transparency: The above reflects the anticipated annual salary range for ...

IT S Data and AI Engineering Req #: 0000247939 Status: Salaried Shift: Day Pay Range: $75,597.00 - $106,780.00 per year Pay Transparency: The above reflects the anticipated annual salary range for ...

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging ...

AI Data Engineer

$117K - $140K/yr

Senior AI Data Engineer (Agentic Systems) Location: USA / Europe / Israel - with a 5hour overlap with EST hours Compensation: $130K - $150K We are hiring on behalf of our client who build the ...

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI-building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success ...

AI Data Engineer - Senior Consultant

Atlanta, GA · On-site

$101K - $138K/yr

Share this job: Share: Share AI Data Engineer - Senior Consultant with Facebook Share AI Data Engineer - Senior Consultant with LinkedIn Share AI Data Engineer - Senior Consultant with Twitter ...

AI Data Engineer

Coppell, TX · On-site

$105K - $126K/yr

POSITION SUMMARY The AI Data Engineer builds and maintains data pipelines that deliver clean, reliable data for machine learning and analytics. The role uses SQL and Python to transform raw data into ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI / Data Engineer

Fort Collins, CO · On-site

$113K - $136K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI / Data Engineer

Huntsville, AL · On-site

$112K - $135K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI / Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI / Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

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Showing results 1-20

Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do ai data engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What cities are hiring for Ai Data Engineer jobs? Cities with the most 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 Ai Data Engineer jobs? States with the most job openings for Ai Data Engineer jobs include:
Infographic showing various Ai Data Engineer job openings in the United States as of May 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AI Data Engineer

AI Data Engineer

T Rowe Price

Owings Mills, MD • Hybrid

$109K - $131K/yr

Other

Posted 15 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary
T. Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging AI for data and data for AI. The successful candidate will be a hands-on contributor with deep technical skills, who can drive best practices and innovation in a collaborative, purpose-driven environment.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

Responsibilities

  • Technical design, development, and maintenance of advanced "AI for data" and "Data for AI" capabilities driving advanced data pipelines, analytics platforms, and AI/ML solutions.
  • Collaborate with diverse set of team members varying from business stakeholders, data scientists, product owners, and other stakeholders to understand business requirements and translate them into robust technical solutions.
  • Delivery of AI data foundations in the data supply chain process and data storage systems to ensure high-quality, reliable, and compliant data across the enterprise.
  • Build and operationalize machine learning models, facilitating their integration into business workflows and production environments.
  • Champion data governance, security, and regulatory compliance, ensuring alignment with T. Rowe Price's standards and industry best practices.
  • Evaluate and implement emerging technologies, frameworks, and tools to advance T. Rowe Price's data and AI capabilities.
  • Troubleshoot and optimize data solutions and platform performance, ensuring scalability and resilience.
  • Document system architectures, processes, and best practices for technical and non-technical stakeholders.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
  • 2+ years of professional experience in data engineering, AI, or machine learning roles.
  • Strong proficiency in Python (preferred), Java, or Scala.
  • Experience with cloud data platforms (AWS, Azure, or GCP), preferably within a regulated industry.
  • Hands-on expertise with big data technologies (Spark, Kafka) and modern data platforms (Snowflake)
  • Proven track record deploying and maintaining machine learning models in production environments.
  • Solid understanding of Agile methodologies and DevOps practices.
  • Excellent communication, collaboration, and leadership skills.

Preferred:

  • Experience in the asset management or financial services industry.
  • Familiarity with MLOps, CI/CD pipelines, and model lifecycle management.
  • Industry certifications in cloud or data engineering technologies.
  • Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.


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