AI Engineer Visa Sponsorship Jobs in Georgia
Georgia's AI engineering market centers on Atlanta, where companies like NCR Voyix, Cox Enterprises, and Delta Air Lines have built substantial technology teams alongside a growing cohort of AI-focused startups. Georgia Tech's deep research pipeline feeds demand for AI engineers across financial services, logistics, and healthcare, making the state a consistent source of H-1B visa sponsorship activity.
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Get Access To All JobsSenior Agentic AI Engineer
Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, and copilots using modern AI/ML techniques.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
What you'll work on
- Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
- Develop agents over our construction data estate, systems that answer non-trivial questions, take multi-step action against APIs and databases, and operate under governance constraints that matter.
- Tool-use and orchestration design in LangGraph: defining the right granularity of tools, the right state machines, and the right human-in-the-loop checkpoints for a domain where wrong answers have real-world consequences.
- Evaluation infrastructure for non-deterministic systems: building harnesses, golden datasets, and regression tests that let us ship agentic features with confidence. We treat eval as a first-class engineering problem, not an afterthought.
- Retrieval and knowledge architecture spanning Snowflake Cortex, vector search, and structured graphs over our project data. You'll make real decisions about when retrieval is the answer and when it isn't.
- Integration with our domain systems: partnering with engineers and analysts working on safety, operations, scheduling, and risk to turn agentic capabilities into tools superintendents and PMs use.
- Technical direction-setting across the Agentic AI track: design reviews, architectural guidance, raising the bar on what "production-ready" means for agents, and mentoring engineers earlier in their agentic AI journey.
- Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
- Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
Required Experience
- 6+ years of production software engineering, with at least 2 years building LLM-powered systems in a production setting.
- Demonstrated experience designing and shipping agentic systems using LangChain and LangGraph or comparable frameworks.
- Strong Python engineering fundamentals: testing, packaging, performance, and the parts of the stack that aren't glamorous.
- Practical experience with retrieval architectures (vector stores, hybrid search, reranking) and with at least one major cloud data platform.
- Track record of evaluation work, you can describe specific eval systems you've built and what they caught that ad-hoc testing missed.
- Excellent written and verbal communication, with experience presenting technical work to non-technical stakeholders.
Bonus
- Snowflake and Snowflake Cortex (Cortex Search, AI_COMPLETE, Cortex Analyst).
- Experience with knowledge graphs or graph-augmented retrieval.
- Familiarity with construction, AEC, or other physical-industry domains.
- Experience working under AI governance frameworks like model risk, responsible AI, intake processes.
- Open-source contributions to the LangChain/LangGraph ecosystem or related agentic tooling.
DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
Explore our open opportunities at www.dpr.com/careers.
Senior Agentic AI Engineer
Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents, and copilots using modern AI/ML techniques.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
What you'll work on
- Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
- Develop agents over our construction data estate, systems that answer non-trivial questions, take multi-step action against APIs and databases, and operate under governance constraints that matter.
- Tool-use and orchestration design in LangGraph: defining the right granularity of tools, the right state machines, and the right human-in-the-loop checkpoints for a domain where wrong answers have real-world consequences.
- Evaluation infrastructure for non-deterministic systems: building harnesses, golden datasets, and regression tests that let us ship agentic features with confidence. We treat eval as a first-class engineering problem, not an afterthought.
- Retrieval and knowledge architecture spanning Snowflake Cortex, vector search, and structured graphs over our project data. You'll make real decisions about when retrieval is the answer and when it isn't.
- Integration with our domain systems: partnering with engineers and analysts working on safety, operations, scheduling, and risk to turn agentic capabilities into tools superintendents and PMs use.
- Technical direction-setting across the Agentic AI track: design reviews, architectural guidance, raising the bar on what "production-ready" means for agents, and mentoring engineers earlier in their agentic AI journey.
- Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
- Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
Required Experience
- 6+ years of production software engineering, with at least 2 years building LLM-powered systems in a production setting.
- Demonstrated experience designing and shipping agentic systems using LangChain and LangGraph or comparable frameworks.
- Strong Python engineering fundamentals: testing, packaging, performance, and the parts of the stack that aren't glamorous.
- Practical experience with retrieval architectures (vector stores, hybrid search, reranking) and with at least one major cloud data platform.
- Track record of evaluation work, you can describe specific eval systems you've built and what they caught that ad-hoc testing missed.
- Excellent written and verbal communication, with experience presenting technical work to non-technical stakeholders.
Bonus
- Snowflake and Snowflake Cortex (Cortex Search, AI_COMPLETE, Cortex Analyst).
- Experience with knowledge graphs or graph-augmented retrieval.
- Familiarity with construction, AEC, or other physical-industry domains.
- Experience working under AI governance frameworks like model risk, responsible AI, intake processes.
- Open-source contributions to the LangChain/LangGraph ecosystem or related agentic tooling.
DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
Explore our open opportunities at www.dpr.com/careers.
AI Engineer Job Roles in Georgia
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Search AI Engineer Jobs in GeorgiaAI Engineer Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Georgia?
Major H-1B sponsors for AI engineering roles in Georgia include NCR Voyix, Cox Enterprises, Delta Air Lines, Equifax, and UPS, all headquartered in or near Atlanta. Global technology firms like Google, Microsoft, and IBM maintain Georgia offices that also file H-1B petitions for AI engineering positions. Georgia Tech's startup ecosystem has produced additional sponsors, particularly in fintech, supply chain AI, and healthcare informatics.
Which visa types are most common for AI engineer roles in Georgia?
The H-1B is by far the most common visa category for AI engineers in Georgia, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with advanced research profiles may also see O-1A petitions. International students completing degrees at Georgia Tech or other Georgia universities often work under OPT or STEM OPT before transitioning to employer-sponsored H-1B status.
Which cities in Georgia have the most AI engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of AI engineer visa sponsorship activity in Georgia. Specific concentrations appear in Midtown, where Georgia Tech's campus anchors a research and startup corridor, and in Buckhead and Alpharetta, where financial services and enterprise technology firms cluster. Alpharetta in particular has grown as a secondary technology hub, with a number of cybersecurity and data infrastructure companies that hire AI engineers.
How to find ai engineer visa sponsorship jobs in Georgia?
Migrate Mate filters AI engineer job listings specifically by visa sponsorship availability, so you can browse Georgia-based roles without sorting through positions that do not support international candidates. The platform is built for international job seekers, making it straightforward to identify which Atlanta-area employers are actively sponsoring for AI engineering titles like machine learning engineer, MLOps engineer, or applied scientist without contacting companies one by one.
Are there state-specific considerations for AI engineers pursuing sponsorship in Georgia?
Georgia Tech is one of the top producers of AI and machine learning talent in the United States, which means Georgia employers are experienced with international hiring and university OPT pipelines. The state's concentration in logistics, financial services, and healthcare creates consistent demand for AI engineers with domain-specific experience in those verticals. Employers filing H-1B petitions in Georgia must meet Department of Labor prevailing wage requirements for the Atlanta metropolitan area, which are determined by the specific job title and level filed.
What is the prevailing wage for sponsored ai 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.