Finance H-1B Sponsorship Jobs in Georgia
Georgia's finance sector spans Atlanta's major bank headquarters, insurance giants, and a growing fintech corridor that collectively file hundreds of H-1B visa petitions each year. Employers like NCR Atleos, Fiserv, and Equifax sponsor international talent for roles in financial analysis, risk management, and technology-driven finance functions across Metro Atlanta and beyond.
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Get Access To All JobsINTRODUCTION
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
The Associate AI Engineer supports the design, development, and deployment of AI‑powered solutions that improve business processes, teammate productivity, and customer experiences. This role is ideal for early‑career engineers who are eager to build hands‑on experience with machine learning, generative AI, and modern cloud‑based AI platforms while working under the guidance of senior engineers and technical leads.
The Associate AI Engineer will contribute to AI application development, model integration, data preparation, testing, and deployment, while learning enterprise standards for security, governance, and responsible AI.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Key Responsibilities
AI & Application Development
- Assist in building and enhancing AI‑driven applications using Python and modern AI/ML frameworks.
- Support development of LLM‑powered applications (e.g., chatbots, copilots, intelligent workflows) using APIs and SDKs.
- Implement prompt engineering, basic agent logic, and tool integrations under senior guidance.
- Develop and maintain APIs or microservices (e.g., FastAPI) that expose AI capabilities.
Data & Model Support
- Help prepare, clean, and validate datasets used for training, evaluation, or retrieval‑augmented generation (RAG).
- Assist with model evaluation, testing, and performance analysis.
- Support integration of pre‑trained models or managed AI services rather than building models from scratch.
Cloud & DevOps Collaboration
- Work with cloud‑based AI platforms (e.g., Azure, AWS, or equivalent) to deploy and test AI solutions.
- Follow CI/CD practices for AI applications using enterprise source control (e.g., GitLab).
- Learn and adhere to deployment, configuration, and environment‑management standards.
Governance, Security & Responsible AI
- Follow enterprise AI governance, data privacy, and security guidelines.
- Assist with documentation related to model usage, data sources, and system behavior.
- Apply responsible AI principles, including transparency, fairness, and safe usage patterns.
Collaboration & Learning
- Collaborate with product managers, data scientists, designers, and senior engineers.
- Participate in code reviews, design discussions, and team knowledge‑sharing sessions.
- Actively learn new AI tools, frameworks, and best practices through hands‑on work and mentorship.
Qualifications
Required Qualifications
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-
Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.
-
Basic understanding of AI models, data architectures, and analytics methodologies.
Preferred Qualifications
- Strong foundation in Python programming.
- Basic understanding of:
- Machine learning concepts (supervised/unsupervised learning, evaluation metrics)
- Generative AI and large language models (LLMs) and frameworks (Langchain/AWS Strands/Microsoft Agent Framework)
- Familiarity with REST APIs and basic web services.
- Experience with Git and collaborative software development workflows.
- Strong problem‑solving skills and willingness to learn in a fast‑evolving AI landscape.
- Internship, co‑op, or academic project experience in AI, ML, or data science.
- Exposure to one or more AI/ML libraries (e.g., PyTorch, TensorFlow, scikit‑learn).
- Familiarity with:
- LLM APIs (e.g., Azure OpenAI, OpenAI, AWS Bedrock)
- Prompt engineering or retrieval‑augmented generation (RAG)
- FastAPI, Streamlit, or similar frameworks
- Basic understanding of cloud services (Azure, AWS, or GCP).
- Experience working in regulated or enterprise environments is a plus.
- Industry recognized AI Engineer Certifications (Azure, AWS, or GCP)
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
INTRODUCTION
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
The Associate AI Engineer supports the design, development, and deployment of AI‑powered solutions that improve business processes, teammate productivity, and customer experiences. This role is ideal for early‑career engineers who are eager to build hands‑on experience with machine learning, generative AI, and modern cloud‑based AI platforms while working under the guidance of senior engineers and technical leads.
The Associate AI Engineer will contribute to AI application development, model integration, data preparation, testing, and deployment, while learning enterprise standards for security, governance, and responsible AI.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Key Responsibilities
AI & Application Development
- Assist in building and enhancing AI‑driven applications using Python and modern AI/ML frameworks.
- Support development of LLM‑powered applications (e.g., chatbots, copilots, intelligent workflows) using APIs and SDKs.
- Implement prompt engineering, basic agent logic, and tool integrations under senior guidance.
- Develop and maintain APIs or microservices (e.g., FastAPI) that expose AI capabilities.
Data & Model Support
- Help prepare, clean, and validate datasets used for training, evaluation, or retrieval‑augmented generation (RAG).
- Assist with model evaluation, testing, and performance analysis.
- Support integration of pre‑trained models or managed AI services rather than building models from scratch.
Cloud & DevOps Collaboration
- Work with cloud‑based AI platforms (e.g., Azure, AWS, or equivalent) to deploy and test AI solutions.
- Follow CI/CD practices for AI applications using enterprise source control (e.g., GitLab).
- Learn and adhere to deployment, configuration, and environment‑management standards.
Governance, Security & Responsible AI
- Follow enterprise AI governance, data privacy, and security guidelines.
- Assist with documentation related to model usage, data sources, and system behavior.
- Apply responsible AI principles, including transparency, fairness, and safe usage patterns.
Collaboration & Learning
- Collaborate with product managers, data scientists, designers, and senior engineers.
- Participate in code reviews, design discussions, and team knowledge‑sharing sessions.
- Actively learn new AI tools, frameworks, and best practices through hands‑on work and mentorship.
Qualifications
Required Qualifications
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-
Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.
-
Basic understanding of AI models, data architectures, and analytics methodologies.
Preferred Qualifications
- Strong foundation in Python programming.
- Basic understanding of:
- Machine learning concepts (supervised/unsupervised learning, evaluation metrics)
- Generative AI and large language models (LLMs) and frameworks (Langchain/AWS Strands/Microsoft Agent Framework)
- Familiarity with REST APIs and basic web services.
- Experience with Git and collaborative software development workflows.
- Strong problem‑solving skills and willingness to learn in a fast‑evolving AI landscape.
- Internship, co‑op, or academic project experience in AI, ML, or data science.
- Exposure to one or more AI/ML libraries (e.g., PyTorch, TensorFlow, scikit‑learn).
- Familiarity with:
- LLM APIs (e.g., Azure OpenAI, OpenAI, AWS Bedrock)
- Prompt engineering or retrieval‑augmented generation (RAG)
- FastAPI, Streamlit, or similar frameworks
- Basic understanding of cloud services (Azure, AWS, or GCP).
- Experience working in regulated or enterprise environments is a plus.
- Industry recognized AI Engineer Certifications (Azure, AWS, or GCP)
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
H-1B Finance Job Roles in Georgia
See all 403+ Finance H-1B Jobs in Georgia
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Search Finance Jobs in GeorgiaFinance H-1B Sponsorship Jobs in Georgia: Frequently Asked Questions
Which finance companies in Georgia sponsor H-1B visas?
Atlanta is home to several large finance and fintech employers with a track record of H-1B visa filings, including Equifax, NCR Atleos, Fiserv, and SunTrust (now Truist). Global banks such as Wells Fargo and Bank of America maintain significant Georgia operations and have sponsored H-1B workers in finance roles. Sponsorship decisions are made case by case and are never guaranteed, but these employers have filed petitions through the USCIS H-1B process in prior years.
Which cities in Georgia have the most finance H-1B sponsorship jobs?
Atlanta accounts for the overwhelming majority of finance H-1B sponsorship activity in Georgia, driven by its concentration of bank regional headquarters, payment technology companies, and insurance firms. Alpharetta and Sandy Springs, both within Metro Atlanta, also host significant fintech and financial services offices. Outside the metro area, finance H-1B opportunities are limited, making Greater Atlanta the practical focus for international job seekers in this sector.
What types of finance roles typically qualify for H-1B sponsorship in Georgia?
Roles that typically qualify are those requiring at minimum a bachelor's degree in a specific field directly related to the position. In Georgia's finance sector, this commonly includes financial analysts, risk and compliance analysts, quantitative analysts, credit analysts, and finance-focused software or data roles at fintech companies. General administrative or sales positions in finance are less likely to meet the H-1B specialty occupation standard, even at sponsoring employers.
How do I find finance H-1B sponsorship jobs in Georgia?
Migrate Mate is built specifically for international job seekers and filters finance roles in Georgia where employers are open to H-1B sponsorship, saving you from sorting through listings that won't lead anywhere. You can search by state, visa type, and industry to surface relevant openings at Georgia-based finance and fintech employers. Combining Migrate Mate with direct outreach to Atlanta-area firms that have prior H-1B filing history is a practical approach for this market.
Are there any Georgia-specific considerations for H-1B sponsorship in finance?
Georgia does not impose state-level visa sponsorship requirements beyond federal H-1B rules, but the state's finance market has a few practical dynamics worth understanding. Atlanta's fintech sector is competitive and many roles have a technology component, meaning a combined finance and computer science or data background can strengthen your candidacy. Georgia is also home to several staffing firms that place H-1B workers at finance clients, which is a legally permitted arrangement but comes with its own contractual considerations.
What is the prevailing wage for H-1B finance jobs in Georgia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.