Lead Systems Engineer Visa Sponsorship Jobs in Georgia
Lead systems engineer jobs in Georgia are concentrated in Atlanta's technology corridor, with major sponsors including Lockheed Martin, NCR Voyix, Cox Enterprises, and Delta Air Lines. Aerospace and defense, fintech, and cloud infrastructure firms drive steady demand, making Georgia one of the stronger states for systems engineering sponsorship outside the coasts.
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Get Access To All JobsPosition Type:
Full time
Type Of Hire:
Experienced (relevant combo of work and education)
Education Desired:
Bachelor of Computer Science
Job Description
About FIS
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS?
About the Role
As a senior technical leader and hands-on developer, you will be responsible for creating advanced voice-driven AI agent solutions tailored to the needs of banking and financial services. This position places a strong emphasis on innovation in Agentic AI, conversational AI, and voice interfaces, along with the development of autonomous decision-making agents that leverage Microsoft’s latest AI and cloud technologies.
In this role, you will design and launch AI systems within regulated enterprise environments, ensuring that these systems are scalable, secure, and reliable. Your success will be measured by the robust, transformative AI capabilities you deliver, which enhance customer experiences and improve operational efficiency. Throughout your work, you will maintain the highest standards of quality, compliance, and performance.
What You Will Be Doing
- Build voice-based autonomous agents and conversational AI for banking platforms using Microsoft Dynamics 365 Contact Center, Agent SDK, Microsoft Power Platform (Copilot studio, Dataverse, Power Apps, Power Automate, Power Pages), and Azure AI services (Azure OpenAI, Azure AI Speech, Bot Framework, etc.).
- Integrate LLM models and cognitive services (e.g. OpenAI models, Azure AI Speech (STT/TTS), Azure AI Foundry, AWS Sagemaker/bedrock) into enterprise applications to deliver natural language and voice interactions.
- Agentic Workflows & Orchestration: Build agentic workflows that allow AI to perform complex, multi-step tasks autonomously. Develop orchestration logic and use container services in AWS and Azure (AKS, EKS, ECS etc.) and microservices architectures to ensure these AI agents run efficiently in production.
- Quality, Observability & Optimization: Implement robust monitoring, logging, and observability for AI services. Continuously optimize performance (latency, accuracy) of voice and AI systems using Azure and AWS monitoring tools to ensure high availability, reliability, and compliance.
- Security & Responsible AI: Embed security, privacy, and Responsible AI best practices into all solutions. Ensure data protection and regulatory compliance (relevant to banking/financial industry) while enabling advanced AI capabilities.
- Collaboration & Leadership: Collaborate with cross-functional teams (business analyst, data scientists, designers, cloud engineers, and architects) to deliver cohesive AI-powered features. Mentor and guide fellow engineers in modern AI-first development practices, setting high standards in coding, testing, and deployment.
What you bring
- Extensive Industry Experience: Proven experience (e.g. 5+ years) in software development and architecture, building large-scale AI or cloud-based solutions in production environments.
- AI & Voice Expertise: Hands-on expertise with AI/ML technologies, including natural language processing (NLP) or speech recognition. Familiarity with large language models (e.g., GPT, Claude or similar) and conversational AI/voice assistant development.
- Microsoft Azure and AWS Proficiency: Strong experience developing with Microsoft Azure and AWS cloud services. Knowledge of CI/CD, Azure and AWS container services for deploying AI workloads.
- Programming & DevOps Skills: Proficient in modern programming languages (such as Python, Java, C#, or similar) and building APIs or microservices. Solid understanding of DevOps and CI/CD practices (e.g., Azure DevOps pipelines) to ensure frequent, reliable delivery of AI software.
- System Design & Architecture: Deep knowledge of scalable, distributed systems designs and cloud-native architecture. Experience implementing microservices, containerization, and API integration.
- Problem Solving & Innovation: Strong analytical and problem-solving skills with the ability to navigate complex technical challenges. Innovative mindset to drive continuous improvement and to evaluate emerging technologies for potential adoption.
- Communication: Excellent communication skills, with ability to explain complex AI solutions and technical strategies to diverse stakeholders.
Bonus if you have
- Financial Services Familiarity: Experience working in banking, fintech, or other heavily regulated industries and understanding of compliance, security, and data privacy considerations for AI solutions in these environments.
- AI Research & Innovation: Demonstrated interest in emerging AI trends (such as agentic AI, multi-modal models, reinforcement learning, etc.) and experience bringing new AI concepts from prototype to production.
- Advanced Degree: Master’s or higher degree in Computer Science, Engineering, AI, or related field (or equivalent practical experience) is a plus.
What We Offer you
- Opportunities to make an impact in fintech.
- Personal and professional learning.
- Inclusive, diverse work environment.
- Resources to give back to your community.
- Competitive salary and benefits.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
pridepass
Position Type:
Full time
Type Of Hire:
Experienced (relevant combo of work and education)
Education Desired:
Bachelor of Computer Science
Job Description
About FIS
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS?
About the Role
As a senior technical leader and hands-on developer, you will be responsible for creating advanced voice-driven AI agent solutions tailored to the needs of banking and financial services. This position places a strong emphasis on innovation in Agentic AI, conversational AI, and voice interfaces, along with the development of autonomous decision-making agents that leverage Microsoft’s latest AI and cloud technologies.
In this role, you will design and launch AI systems within regulated enterprise environments, ensuring that these systems are scalable, secure, and reliable. Your success will be measured by the robust, transformative AI capabilities you deliver, which enhance customer experiences and improve operational efficiency. Throughout your work, you will maintain the highest standards of quality, compliance, and performance.
What You Will Be Doing
- Build voice-based autonomous agents and conversational AI for banking platforms using Microsoft Dynamics 365 Contact Center, Agent SDK, Microsoft Power Platform (Copilot studio, Dataverse, Power Apps, Power Automate, Power Pages), and Azure AI services (Azure OpenAI, Azure AI Speech, Bot Framework, etc.).
- Integrate LLM models and cognitive services (e.g. OpenAI models, Azure AI Speech (STT/TTS), Azure AI Foundry, AWS Sagemaker/bedrock) into enterprise applications to deliver natural language and voice interactions.
- Agentic Workflows & Orchestration: Build agentic workflows that allow AI to perform complex, multi-step tasks autonomously. Develop orchestration logic and use container services in AWS and Azure (AKS, EKS, ECS etc.) and microservices architectures to ensure these AI agents run efficiently in production.
- Quality, Observability & Optimization: Implement robust monitoring, logging, and observability for AI services. Continuously optimize performance (latency, accuracy) of voice and AI systems using Azure and AWS monitoring tools to ensure high availability, reliability, and compliance.
- Security & Responsible AI: Embed security, privacy, and Responsible AI best practices into all solutions. Ensure data protection and regulatory compliance (relevant to banking/financial industry) while enabling advanced AI capabilities.
- Collaboration & Leadership: Collaborate with cross-functional teams (business analyst, data scientists, designers, cloud engineers, and architects) to deliver cohesive AI-powered features. Mentor and guide fellow engineers in modern AI-first development practices, setting high standards in coding, testing, and deployment.
What you bring
- Extensive Industry Experience: Proven experience (e.g. 5+ years) in software development and architecture, building large-scale AI or cloud-based solutions in production environments.
- AI & Voice Expertise: Hands-on expertise with AI/ML technologies, including natural language processing (NLP) or speech recognition. Familiarity with large language models (e.g., GPT, Claude or similar) and conversational AI/voice assistant development.
- Microsoft Azure and AWS Proficiency: Strong experience developing with Microsoft Azure and AWS cloud services. Knowledge of CI/CD, Azure and AWS container services for deploying AI workloads.
- Programming & DevOps Skills: Proficient in modern programming languages (such as Python, Java, C#, or similar) and building APIs or microservices. Solid understanding of DevOps and CI/CD practices (e.g., Azure DevOps pipelines) to ensure frequent, reliable delivery of AI software.
- System Design & Architecture: Deep knowledge of scalable, distributed systems designs and cloud-native architecture. Experience implementing microservices, containerization, and API integration.
- Problem Solving & Innovation: Strong analytical and problem-solving skills with the ability to navigate complex technical challenges. Innovative mindset to drive continuous improvement and to evaluate emerging technologies for potential adoption.
- Communication: Excellent communication skills, with ability to explain complex AI solutions and technical strategies to diverse stakeholders.
Bonus if you have
- Financial Services Familiarity: Experience working in banking, fintech, or other heavily regulated industries and understanding of compliance, security, and data privacy considerations for AI solutions in these environments.
- AI Research & Innovation: Demonstrated interest in emerging AI trends (such as agentic AI, multi-modal models, reinforcement learning, etc.) and experience bringing new AI concepts from prototype to production.
- Advanced Degree: Master’s or higher degree in Computer Science, Engineering, AI, or related field (or equivalent practical experience) is a plus.
What We Offer you
- Opportunities to make an impact in fintech.
- Personal and professional learning.
- Inclusive, diverse work environment.
- Resources to give back to your community.
- Competitive salary and benefits.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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Lead Systems Engineer Job Roles in Georgia
See all 38+ Lead Systems Engineer Jobs in Georgia
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Search Lead Systems Engineer Jobs in GeorgiaLead Systems Engineer Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for lead systems engineers in Georgia?
Georgia's strongest visa sponsors for lead systems engineers include Lockheed Martin and Raytheon in the defense sector, NCR Voyix and Fiserv in fintech, Cox Enterprises and AT&T in telecommunications, and Delta Air Lines for aviation systems. Global consulting firms such as Infosys, Cognizant, and Wipro maintain large Atlanta offices and have consistent H-1B visa LCA filing histories for senior engineering roles.
Which visa types realistically fit lead systems engineer roles in Georgia?
Lead systems engineer is a specialty occupation requiring a bachelor's degree in engineering or a closely related field, so H-1B is the primary path for most international candidates. Canadian and Mexican nationals can pursue TN visa status under the USMCA Engineer profession. E-3 visa applies to Australian citizens. H-1B1 visa covers Chilean and Singaporean nationals. Qualified candidates may also pursue an EB-2 or EB-3 employment-based green card once a sponsoring employer initiates PERM labor certification.
Which cities in Georgia have the most lead systems engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of lead systems engineer sponsorship activity in Georgia, particularly in the Midtown tech district, Buckhead, and Alpharetta, which hosts a dense cluster of fintech and cybersecurity firms. Marietta and Kennesaw support defense-oriented systems roles tied to Lockheed Martin and other aerospace contractors. Savannah has a smaller but growing presence linked to logistics technology and port infrastructure projects.
How to find lead systems engineer visa sponsorship jobs in Georgia?
Migrate Mate lists lead systems engineer roles in Georgia filtered to employers with verified visa sponsorship history, so you can focus applications on companies already familiar with the sponsorship process. Georgia's defense, fintech, and telecom sectors generate consistent openings at the lead level, and searching by city within Migrate Mate helps narrow results to Atlanta's core tech corridors or Marietta's aerospace employers specifically.
Are there state-specific factors that affect lead systems engineer sponsorship in Georgia?
Georgia's large aerospace and defense industry means many lead systems engineer roles involve work on government contracts, which can require security clearances. Non-U.S. citizens can hold certain clearance levels, but the process adds complexity and employer willingness to sponsor varies. Georgia Tech's graduate engineering programs also create a strong local pipeline, meaning Atlanta employers are generally experienced with sponsoring F-1 OPT and STEM OPT candidates before transitioning them to H-1B status.
What is the prevailing wage for sponsored lead systems engineer 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.