STEM OPT AI Data Engineer Jobs
AI Data Engineer roles in machine learning infrastructure, data pipelines, and model deployment qualify for STEM OPT's 24-month extension if your degree is in computer science, data science, or a related STEM field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your start date.
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Get Access To All JobsAt T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.
Join us for the opportunity to grow and make a difference in ways that matter to you.
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.
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.
WHAT TO EXPECT AFTER APPLYING
-
You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes
-
If you are eligible, you will be asked to record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 20-30 minutes
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
$97,000.00 - $165,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$106,000.00 - $182,000.00 for the location of: Washington, D.C.
$121,000.00 - $206,000.00 for the location of: New York, California
Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.
Commitment to Diversity, Equity, and Inclusion
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.
Benefits
We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.
Featured employee benefits to enrich your life:
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
Learn more about our benefits.
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.
Join us for the opportunity to grow and make a difference in ways that matter to you.
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.
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.
WHAT TO EXPECT AFTER APPLYING
-
You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes
-
If you are eligible, you will be asked to record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 20-30 minutes
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
$97,000.00 - $165,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$106,000.00 - $182,000.00 for the location of: Washington, D.C.
$121,000.00 - $206,000.00 for the location of: New York, California
Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.
Commitment to Diversity, Equity, and Inclusion
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.
Benefits
We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.
Featured employee benefits to enrich your life:
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
Learn more about our benefits.
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
See all 1,294+ STEM OPT AI Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Data Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Data Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to an approved STEM field on USCIS's list. Computer science, data science, and information systems CIP codes all qualify, but applied mathematics or statistics degrees sometimes require closer review by your DSO.
Confirm E-Verify enrollment before accepting offers
Search the E-Verify employer search tool by company name before signing anything. Startups and smaller data teams frequently lack E-Verify enrollment, which disqualifies them as STEM OPT employers regardless of how well the role fits your training plan.
Build your I-983 training plan around AI pipeline work
Map your job duties to specific learning objectives in the I-983: model training workflows, data orchestration tools, and MLOps practices all count as structured training activities. A vague plan citing only 'data engineering tasks' increases the risk of DSO rejection or an ICE audit.
Target employers with LCA filing history in AI roles
Use Migrate Mate to filter AI Data Engineer roles by employers who have filed Labor Condition Applications for H-1B visa workers in similar SOC codes. LCA history signals an existing immigration compliance infrastructure, which matters for STEM OPT employers managing reporting obligations.
Negotiate your offer letter to reflect the I-983 structure
Ask HR to specify your reporting structure, supervision arrangement, and core technical responsibilities in writing before onboarding. ICE's STEM OPT regulations require that the employer mentor you in a formal capacity, and a vague offer letter makes the required I-983 supervisor attestation harder to complete accurately.
Time your OPT application to protect cap-gap eligibility
If you plan to transition to H-1B, file your USCIS I-765 renewal at least 90 days before your initial OPT EAD expires. A timely H-1B registration combined with an in-time OPT filing preserves cap-gap authorization through October 1 if you're selected.
Frequently Asked Questions
Does an AI Data Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in an approved STEM field such as computer science, data science, electrical engineering, or applied mathematics, and the role involves substantive technical work in areas like data pipeline development, model deployment, or ML infrastructure. Your DSO confirms eligibility by matching your degree's CIP code to the STEM Designated Degree Program List maintained by USCIS before authorizing the extension.
How do I check whether an employer is enrolled in E-Verify for STEM OPT?
Use the E-Verify employer search tool, which is publicly accessible and searchable by company name and location. Enrollment status can change, so search close to your offer stage rather than at initial application. If a company recruits STEM OPT students but doesn't appear in E-Verify, they must enroll before your extension can be authorized, which adds time to the onboarding process.
What should an AI Data Engineer include in the I-983 training plan?
Your I-983 must describe specific learning goals tied to your job duties, the supervision and mentorship structure, and how the work connects to your STEM degree. For AI Data Engineer roles, this typically includes training objectives around data architecture, feature engineering, model monitoring, and workflow automation tools. Generic descriptions without measurable goals are the most common reason DSOs request revisions before signing.
How do I find AI Data Engineer roles at employers already set up for STEM OPT?
Migrate Mate filters AI Data Engineer listings by employers with verified E-Verify enrollment and LCA filing history in relevant SOC codes, so you're not wasting applications on companies that can't legally hire STEM OPT students. Filtering by this criteria early shortens the offer-to-authorization timeline significantly compared to sorting it out after receiving an offer.
Does the STEM OPT cap-gap rule cover me if I'm working as an AI Data Engineer?
Yes, if your employer files an H-1B petition on your behalf before your OPT EAD expires and you filed your I-765 on time, cap-gap authorization extends your work authorization through September 30 of the fiscal year in which you were selected. This applies regardless of your specific role title, as long as your underlying STEM OPT status is valid and the petition was filed while your OPT period was still active.