E-3 Visa AI Solutions Engineer Jobs
AI Solutions Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, software engineering, or a related field. Australian nationals can secure two-year work authorization with no lottery and no annual cap, making this one of the most direct paths to U.S.-based AI work.
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Get Access To All JobsWhat We Do
At Goldman Sachs, our Engineers don't just make things — we make things possible. The WM Data Engineering team within Asset & Wealth Management builds the cloud-native data platform that underpins Wealth Management globally — spanning Lakehouse architecture on AWS, ETL/ELT pipelines, data governance, and AI-powered tooling that accelerates how we build and operate at scale.
Our AI Solutions Engineering function designs and delivers intelligent agent-based workflows and LLM-powered applications that transform how engineers and business teams work across the WM Data ecosystem.
Who We Look For
We are seeking a motivated AI Solutions Engineer to contribute to the design and delivery of production AI systems within a data engineering organization. You are intellectually curious, write clean tested code, and are excited about building AI applications at the intersection of large language models and real-world data infrastructure.
Responsibilities
- Build and maintain AI-powered data engineering tools — LLM agents for pipeline generation, schema mapping, data quality analysis, and migration — integrated with the WM data platform (S3, Databricks, Snowflake, Glue, Athena, MWAA)
- Build and iterate on evaluation frameworks (LangSmith, RAGAS, PromptFoo) to measure and improve AI output quality across data engineering workloads
- Write well-tested, production-quality code with comprehensive unit and integration tests for AI components
- Implement responsible AI practices in every system: output guardrails, prompt injection defenses, PII handling, and audit logging — especially critical when operating on sensitive financial data
- Implement and maintain backend services and APIs that expose AI-driven data tooling platform engineers and internal stakeholders
- Collaborate with senior engineers, data architects, and business stakeholders to scope requirements, prototype solutions, and ship iteratively
- Actively seek feedback, grow technical breadth across AI and data engineering, and contribute to team knowledge-sharing
Basic Qualifications
- 3+ years of software engineering experience, including hands-on work with machine learning models or AI application development
- Proficiency in Java, Python, and SQL; hands-on experience with LLM APIs or agentic frameworks (OpenAI, Anthropic, LangChain, or similar)
- Familiarity with agentic patterns: tool use, multi-step reasoning, and structured output generation
- Understanding data engineering concepts — ETL/ELT pipelines, data warehousing, data lake architectures, or cloud data services (S3, Glue, Databricks, Snowflake, Athena)
- Awareness of responsible AI concerns — prompt injection, hallucination risk, output guardrails, data leakage
- Strong analytical and problem-solving skills; effective written and verbal communication
Preferred Qualifications
- Experience with AI evaluation frameworks (LangSmith, RAGAS, PromptFoo, or equivalent)
- Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda)
- Familiarity with Model Context Protocol (MCP) or similar standards for tool integration with LLM agents
- Exposure to pipeline orchestration tools (Airflow/MWAA, Step Functions) or Lakehouse patterns (Iceberg, Databricks, Snowflake)
- Experience in financial services or regulated data environments
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We Offer Best-In-Class Benefits
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.
Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
Dallas
JOB FUNCTION
Software Engineering
DIVISION
Asset & Wealth Management
What We Do
At Goldman Sachs, our Engineers don't just make things — we make things possible. The WM Data Engineering team within Asset & Wealth Management builds the cloud-native data platform that underpins Wealth Management globally — spanning Lakehouse architecture on AWS, ETL/ELT pipelines, data governance, and AI-powered tooling that accelerates how we build and operate at scale.
Our AI Solutions Engineering function designs and delivers intelligent agent-based workflows and LLM-powered applications that transform how engineers and business teams work across the WM Data ecosystem.
Who We Look For
We are seeking a motivated AI Solutions Engineer to contribute to the design and delivery of production AI systems within a data engineering organization. You are intellectually curious, write clean tested code, and are excited about building AI applications at the intersection of large language models and real-world data infrastructure.
Responsibilities
- Build and maintain AI-powered data engineering tools — LLM agents for pipeline generation, schema mapping, data quality analysis, and migration — integrated with the WM data platform (S3, Databricks, Snowflake, Glue, Athena, MWAA)
- Build and iterate on evaluation frameworks (LangSmith, RAGAS, PromptFoo) to measure and improve AI output quality across data engineering workloads
- Write well-tested, production-quality code with comprehensive unit and integration tests for AI components
- Implement responsible AI practices in every system: output guardrails, prompt injection defenses, PII handling, and audit logging — especially critical when operating on sensitive financial data
- Implement and maintain backend services and APIs that expose AI-driven data tooling platform engineers and internal stakeholders
- Collaborate with senior engineers, data architects, and business stakeholders to scope requirements, prototype solutions, and ship iteratively
- Actively seek feedback, grow technical breadth across AI and data engineering, and contribute to team knowledge-sharing
Basic Qualifications
- 3+ years of software engineering experience, including hands-on work with machine learning models or AI application development
- Proficiency in Java, Python, and SQL; hands-on experience with LLM APIs or agentic frameworks (OpenAI, Anthropic, LangChain, or similar)
- Familiarity with agentic patterns: tool use, multi-step reasoning, and structured output generation
- Understanding data engineering concepts — ETL/ELT pipelines, data warehousing, data lake architectures, or cloud data services (S3, Glue, Databricks, Snowflake, Athena)
- Awareness of responsible AI concerns — prompt injection, hallucination risk, output guardrails, data leakage
- Strong analytical and problem-solving skills; effective written and verbal communication
Preferred Qualifications
- Experience with AI evaluation frameworks (LangSmith, RAGAS, PromptFoo, or equivalent)
- Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda)
- Familiarity with Model Context Protocol (MCP) or similar standards for tool integration with LLM agents
- Exposure to pipeline orchestration tools (Airflow/MWAA, Step Functions) or Lakehouse patterns (Iceberg, Databricks, Snowflake)
- Experience in financial services or regulated data environments
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We Offer Best-In-Class Benefits
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.
Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
Dallas
JOB FUNCTION
Software Engineering
DIVISION
Asset & Wealth Management
See all 409+ AI Solutions Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Solutions Engineer roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Solutions Engineer
Align your credentials to specialty occupation standards
Your degree must directly relate to AI solutions engineering, not just tech broadly. A computer science or software engineering degree maps cleanly; an unrelated field requires documented equivalency through work experience at a three-to-one substitution ratio before you apply.
Target employers with active LCA filing histories
Search the DOL's Office of Foreign Labor Certification disclosure data for employers who have filed LCAs under SOC codes tied to software and AI roles. Repeated filings signal a company already has an internal process for E-3 sponsorship, reducing your onboarding friction.
Find AI Solutions Engineer roles using Migrate Mate
Use Migrate Mate to search AI Solutions Engineer positions filtered by E-3 sponsorship history. Then use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once an offer is in hand, covering everything from DOL certification to consulate preparation.
Clarify the LCA scope before accepting your offer
The LCA locks in your job title, work location, and prevailing wage level. If your role involves client sites or multiple offices, confirm those locations are listed before signing, because amending the LCA after filing adds weeks and can delay your consulate appointment.
Distinguish E-3 from H-1B when briefing HR
Many U.S. hiring managers assume all work visas require lottery entry. Tell HR explicitly that the E-3 has no lottery, no cap, and requires only a certified LCA plus a consulate appointment, so there's no April registration deadline holding up your start date.
Prepare your portfolio for specialty occupation scrutiny
Consular officers assess whether the role genuinely requires a specialized degree. Bring a detailed job offer letter that lists the technical requirements, your Australian academic transcripts, and any certifications in machine learning frameworks or cloud AI platforms relevant to the position.
AI Solutions Engineer jobs are hiring across the US. Find yours.
Find AI Solutions Engineer JobsAI Solutions Engineer E-3 Visa: Frequently Asked Questions
How do I find AI Solutions Engineer jobs with E-3 visa sponsorship?
Migrate Mate lets you search AI Solutions Engineer roles filtered specifically by E-3 sponsorship, so you're not cold-applying to employers unfamiliar with the visa. Because the E-3 has no lottery and no annual cap, employers face far less process risk than with an H-1B, which makes sponsorship conversations easier once you identify the right companies.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI Solutions Engineer role qualify as a specialty occupation for E-3 purposes?
Yes, provided the position requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or artificial intelligence. Roles that accept any degree as a baseline, or that describe the degree as preferred rather than required, can face scrutiny at the consulate, so the offer letter's language matters significantly.
How does the E-3 visa compare to the H-1B for AI Solutions Engineer roles?
The H-1B is subject to an annual cap of 85,000 slots and a randomized lottery, meaning a qualified AI engineer can be locked out for years purely by chance. The E-3 has a 10,500 annual allocation reserved exclusively for Australian nationals that has never been exhausted, so approval depends on your qualifications and the role's merit, not lottery luck.
Can I change employers or roles after entering the U.S. on an E-3?
You can change employers, but each new position requires a fresh LCA certified by the DOL and a new E-3 visa stamp obtained at a consulate or, in some cases, a change of status filed with USCIS. The new LCA must reflect the updated job title, duties, and worksite location, so start that process before your last day with your current employer.
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