Green Card Distributed Systems Engineer Jobs
Distributed Systems Engineer roles at U.S. tech and infrastructure companies qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers file on your behalf, certifying the role requires specialized skills that meet DOL prevailing-wage standards. Finding companies with active PERM filing history is the fastest route to sponsorship.
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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
The AI Ecosystem & Distributed Innovation Lead will build and scale the environment that enables Global Distribution Associates to create reusable value with AI.
Reporting to the Director, AI Enablement & Ecosystem, this role will own the strategy and operating model for Associate-built reusable AI solutions, including Skills, assistants, agents, templates, playbooks, and emerging capabilities made possible by enterprise AI platforms.
The role will apply a product-management mindset to the broader GD AI ecosystem: understanding what Associates are building and using, identifying the highest-value solutions, helping creators improve promising capabilities, developing approaches to validation and responsible sharing, expanding the enterprise toolkit, and making successful solutions easy for others to discover and adopt.
The role will also serve as a visible AI evangelist across GD, translating fast-moving technology developments into practical opportunities and creating excitement and momentum around what Associates can now accomplish.
Responsibilities
Distributed Innovation Strategy:
- Own the vision and roadmap for Associate-built reusable AI solutions across Global Distribution.
- Develop mechanisms that encourage broad experimentation and creation while focusing attention on recurring business needs and high-value use cases.
- Understand how Associates are using available AI capabilities, identify common patterns, and determine where central-team support can significantly improve quality or scale.
- Establish measures of ecosystem health, including creation, reuse, adoption, engagement, quality, and demonstrated business value.
Reusable Solution Lifecycle:
- Build a scalable lifecycle to discover, assess, improve, validate, publish, promote, measure, maintain, and retire reusable AI solutions.
- Identify high-potential Associate-created solutions and partner with their creators to improve reliability, usability, instructions, evaluations, documentation, and scalability.
- Develop clear standards for when a solution can be broadly shared or endorsed within GD.
- Define criteria and pathways for graduating successful solutions into targeted workflow interventions or formal AI products when usage, complexity, risk, data requirements, or business importance warrant greater investment.
AI Ecosystem & Capability Roadmap:
- Maintain a deep understanding of enterprise-approved AI platforms, tools, connectors, agent capabilities, and emerging functionality.
- Identify gaps between available capabilities and the needs of GD Associates and reusable-solution creators.
- Translate those gaps into clear business requirements and roadmap priorities for Technology, Data, enterprise AI teams, Labs, and platform providers.
- Evaluate new capabilities through practical experimentation and determine where they can unlock meaningful new use cases or improve existing solutions.
Responsible Scaling & Risk Management:
- Partner with Technology, Data, Risk, Legal, Compliance, and other control functions to establish practical guardrails for Associate-built reusable AI solutions.
- Help creators understand appropriate use of enterprise data, approved tools, validation expectations, and other relevant controls.
- Balance broad innovation and speed with appropriate management of operational, data, privacy, compliance, and AI-related risks.
- Identify systemic barriers to distributed innovation and work with enterprise partners to resolve them.
Activation, Adoption & Community Engagement:
- Make emerging AI capabilities understandable and exciting to Associates through examples, demos, showcases, experimentation, and practical storytelling.
- Partner with the AI Learning & Community Enablement Lead and AI Champions to identify creators, spread best practices, and drive adoption of high-value reusable solutions.
- Develop an effective internal discovery experience or catalog so Associates can find solutions relevant to their work.
- Build a strong community of AI-forward builders and power users who help expand innovation beyond the capacity of the central team.
Mindset
- Highly AI-forward, curious, and hands-on; learns new capabilities by experimenting with them.
- Product thinker who obsesses over users, quality, adoption, and continuous improvement.
- Natural evangelist who can create energy while remaining grounded in practical business value.
- Comfortable balancing rapid innovation with enterprise risk and control requirements.
- Believes the central team should create more capable builders across the organization rather than become a bottleneck for innovation.
Qualifications
Required:
- Bachelor's degree or equivalent experience in business, technology, product management, information systems, or a related discipline and 8+ years of related experience
- Experience in AI/digital product management, innovation, emerging technology, transformation, or related roles.
- Strong hands-on understanding of generative AI, LLMs, agentic workflows, prompt/instruction design, reusable AI capabilities, and evaluation approaches.
- Demonstrated ability to identify user needs and translate emerging technology into practical products or business capabilities.
- Strong communication and presentation skills, with an ability to engage both technical specialists and broad business audiences.
- Experience working across business, technology, data, and risk stakeholders.
- Builder mindset with demonstrated ability to create new capabilities or programs from the ground up.
Preferred:
- Experience developing or managing platform ecosystems, marketplaces, developer communities, or reusable enterprise capabilities.
- Product-management experience in complex enterprise environments.
- Familiarity with AI governance and responsible AI practices.
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 one day per week from home.
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
- $122,000.00 - $209,000.00 for the location of: Maryland, Colorado, Washington and remote workers
- $135,000.00 - $230,000.00 for the location of: Washington, D.C.
- $153,000.00 - $261,000.00 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
The AI Ecosystem & Distributed Innovation Lead will build and scale the environment that enables Global Distribution Associates to create reusable value with AI.
Reporting to the Director, AI Enablement & Ecosystem, this role will own the strategy and operating model for Associate-built reusable AI solutions, including Skills, assistants, agents, templates, playbooks, and emerging capabilities made possible by enterprise AI platforms.
The role will apply a product-management mindset to the broader GD AI ecosystem: understanding what Associates are building and using, identifying the highest-value solutions, helping creators improve promising capabilities, developing approaches to validation and responsible sharing, expanding the enterprise toolkit, and making successful solutions easy for others to discover and adopt.
The role will also serve as a visible AI evangelist across GD, translating fast-moving technology developments into practical opportunities and creating excitement and momentum around what Associates can now accomplish.
Responsibilities
Distributed Innovation Strategy:
- Own the vision and roadmap for Associate-built reusable AI solutions across Global Distribution.
- Develop mechanisms that encourage broad experimentation and creation while focusing attention on recurring business needs and high-value use cases.
- Understand how Associates are using available AI capabilities, identify common patterns, and determine where central-team support can significantly improve quality or scale.
- Establish measures of ecosystem health, including creation, reuse, adoption, engagement, quality, and demonstrated business value.
Reusable Solution Lifecycle:
- Build a scalable lifecycle to discover, assess, improve, validate, publish, promote, measure, maintain, and retire reusable AI solutions.
- Identify high-potential Associate-created solutions and partner with their creators to improve reliability, usability, instructions, evaluations, documentation, and scalability.
- Develop clear standards for when a solution can be broadly shared or endorsed within GD.
- Define criteria and pathways for graduating successful solutions into targeted workflow interventions or formal AI products when usage, complexity, risk, data requirements, or business importance warrant greater investment.
AI Ecosystem & Capability Roadmap:
- Maintain a deep understanding of enterprise-approved AI platforms, tools, connectors, agent capabilities, and emerging functionality.
- Identify gaps between available capabilities and the needs of GD Associates and reusable-solution creators.
- Translate those gaps into clear business requirements and roadmap priorities for Technology, Data, enterprise AI teams, Labs, and platform providers.
- Evaluate new capabilities through practical experimentation and determine where they can unlock meaningful new use cases or improve existing solutions.
Responsible Scaling & Risk Management:
- Partner with Technology, Data, Risk, Legal, Compliance, and other control functions to establish practical guardrails for Associate-built reusable AI solutions.
- Help creators understand appropriate use of enterprise data, approved tools, validation expectations, and other relevant controls.
- Balance broad innovation and speed with appropriate management of operational, data, privacy, compliance, and AI-related risks.
- Identify systemic barriers to distributed innovation and work with enterprise partners to resolve them.
Activation, Adoption & Community Engagement:
- Make emerging AI capabilities understandable and exciting to Associates through examples, demos, showcases, experimentation, and practical storytelling.
- Partner with the AI Learning & Community Enablement Lead and AI Champions to identify creators, spread best practices, and drive adoption of high-value reusable solutions.
- Develop an effective internal discovery experience or catalog so Associates can find solutions relevant to their work.
- Build a strong community of AI-forward builders and power users who help expand innovation beyond the capacity of the central team.
Mindset
- Highly AI-forward, curious, and hands-on; learns new capabilities by experimenting with them.
- Product thinker who obsesses over users, quality, adoption, and continuous improvement.
- Natural evangelist who can create energy while remaining grounded in practical business value.
- Comfortable balancing rapid innovation with enterprise risk and control requirements.
- Believes the central team should create more capable builders across the organization rather than become a bottleneck for innovation.
Qualifications
Required:
- Bachelor's degree or equivalent experience in business, technology, product management, information systems, or a related discipline and 8+ years of related experience
- Experience in AI/digital product management, innovation, emerging technology, transformation, or related roles.
- Strong hands-on understanding of generative AI, LLMs, agentic workflows, prompt/instruction design, reusable AI capabilities, and evaluation approaches.
- Demonstrated ability to identify user needs and translate emerging technology into practical products or business capabilities.
- Strong communication and presentation skills, with an ability to engage both technical specialists and broad business audiences.
- Experience working across business, technology, data, and risk stakeholders.
- Builder mindset with demonstrated ability to create new capabilities or programs from the ground up.
Preferred:
- Experience developing or managing platform ecosystems, marketplaces, developer communities, or reusable enterprise capabilities.
- Product-management experience in complex enterprise environments.
- Familiarity with AI governance and responsible AI practices.
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 one day per week from home.
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
- $122,000.00 - $209,000.00 for the location of: Maryland, Colorado, Washington and remote workers
- $135,000.00 - $230,000.00 for the location of: Washington, D.C.
- $153,000.00 - $261,000.00 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 43+ Green Card Distributed Systems Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Distributed Systems Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Distributed Systems Engineer
Document your distributed systems specialization early
PERM requires the employer to define a specific job duty set. Gather evidence of your expertise in areas like consensus protocols, fault-tolerant architectures, or large-scale data pipelines before interviews, so your credentials align precisely with what gets filed.
Filter for employers with PERM filing history
Use Migrate Mate to identify companies that have previously filed PERM applications for Distributed Systems Engineer roles. Active filing history signals a team familiar with the process, reducing delays caused by employers navigating green card sponsorship for the first time.
Understand how EB-2 and EB-3 apply to your profile
EB-2 covers advanced-degree professionals or those with strong credentials, while EB-3 covers skilled workers with a bachelor's degree. For this role, a master's or PhD in computer science or electrical engineering typically supports EB-2 classification, shortening your overall wait in most countries.
Negotiate the PERM job description before signing
The minimum requirements written into your PERM application lock in your eligibility permanently. Confirm with your employer's immigration counsel that the education and experience thresholds in the filing match your actual background, not a generalized posting.
Check your country's priority date backlog before accepting offers
EB-3 for applicants from India or China carries multi-year backlogs. Review the USCIS Visa Bulletin before committing to a role, since your country of birth, not citizenship, determines your wait time regardless of which employer sponsors you.
Ask employers about concurrent I-140 and I-485 filing
Once USCIS approves your I-140 petition, concurrent filing of I-485 (adjustment of status) is possible when a visa number is immediately available. Confirm your employer's policy on premium processing for I-140, which can cut USCIS adjudication to about 15 business days.
Green Card Distributed Systems Engineer: Frequently Asked Questions
Does a Distributed Systems Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most Distributed Systems Engineer positions qualify for EB-2 when the employer requires a master's degree or equivalent, or for EB-3 when a bachelor's degree is the stated minimum. The PERM application locks in the classification based on the filed job requirements, so the degree threshold your employer writes into the posting determines which category applies to your case.
How does green card sponsorship through PERM differ from H-1B for this role?
The H-1B visa is a temporary nonimmigrant visa with an annual cap and lottery, while PERM-based green card sponsorship leads to permanent residency with no annual cap at the petition level. The PERM process takes longer overall, often two to four years from labor certification to green card approval, but there is no lottery risk and the outcome is permanent status rather than a renewable temporary authorization.
What does the PERM labor certification process actually require from my employer?
Your employer must conduct a DOL-supervised recruitment campaign proving no qualified U.S. worker is available for the role. For a Distributed Systems Engineer position, this typically includes job postings, internal notices, and documented review of all applications. DOL then certifies the labor condition before the employer files your I-140 immigrant petition with USCIS.
How can I find Distributed Systems Engineer jobs where employers are already willing to sponsor a green card?
Migrate Mate surfaces job listings filtered by verified PERM and green card sponsorship history, so you can target companies that have already navigated this process for similar roles. Approaching employers with an established sponsorship track record significantly reduces the risk of an offer falling through because of internal policy uncertainty.
Can I switch employers after my I-140 is approved without losing my place in line?
Yes. Under AC21 portability, you can change to a same or similar role after your I-485 has been pending for 180 days without losing your priority date. For Distributed Systems Engineers, a role in the same occupational category generally qualifies, but your new employer's immigration counsel should review the job duties against your original PERM filing before you make the move.