Software Engineer AI Jobs in Georgia
Software Engineer AI jobs in Georgia are in strong demand, concentrated in fintech, enterprise software, logistics technology, and cloud infrastructure, with openings from entry-level AI/ML engineers through principal and staff-level roles. Atlanta leads hiring activity by a wide margin, with Alpharetta and Savannah adding notable volume as secondary markets. Companies like NCR Voyix, Cox Enterprises, and Delta Air Lines maintain substantial Georgia engineering footprints and hire software engineer ais across machine learning, natural language processing, and MLOps. Find a role that fits below and apply directly.
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Showing 5 of 26+ Software Engineer AI jobs
Strength in Trust
OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.
The Challenge
As a Senior Staff Software Engineer, you will serve as a technical leader for OneTrust's AI Governance (AIG) platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities.
Your Mission
Development
- Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust's AI Governance product.
- Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
- Lead the architecture and development of reusable AIG reporting and dashboard capabilities that integrate governance data from SQL databases and analytical platforms with runtime observability signals.
- Design reusable semantic-layer and metric-abstraction capabilities, including dataset contracts, metric definitions, query APIs, pre-aggregation, caching, filtering, time-period selection, and drill-down workflows.
- Lead event-driven integrations using Kafka and Apache Flink to consume normalized observability events and produce dashboard-ready datasets and derived metrics.
- Integrate with the AI Observability platform through well-defined APIs and data contracts for runtime metrics, logs, traces, alerts, policy decisions, and evidence.
- Own technical design for critical systems, ensuring scalability, security, and reliability.
- Partner with frontend engineers to build reusable dashboard shells, visualization components, filters, data tables, and entity drill-down experiences.
- Maintain strong automated unit and integration test coverage in line with team standards.
Collaboration
- Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team discussions on system architecture and component design.
- Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
- Lead architecture discussions and technical planning.
- Drive alignment across teams on platform design and priorities.
- Contribute to sprint planning and delivery.
Support
- Reduce defects by identifying and addressing issues early in the development lifecycle.
- Ensure critical and high-priority CII's are delivered per SLA.
- Promote early defect detection through strong design and testing.
- Improve system monitoring, resilience, and operational maturity.
Code Review
- Set standards for clean, secure, and maintainable code.
- Conduct thorough reviews for distributed and AI-enabled systems.
- Guide engineers on testing, automation, and AI system validation.
Lead
- Help build high-performing teams by mentoring the team on new technical skills.
- Influence technical strategy and long-term platform direction.
- Build a culture of ownership, learning, and engineering excellence.
- Lead multi-quarter technical roadmaps across teams and make practical build-versus-reuse decisions.
You Are
A senior technical leader with strong system design and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions.
Your Experience Includes
- Bachelor's or master's degree in computer science, Engineering, or a related technical or business field.
- 12+ years of professional software engineering and development experience.
- Strong expertise in Java/J2EE, Spring, Python, design patterns, microservices, and cloud-native distributed systems.
- Proven experience leading reusable platform, reporting, analytics, or data products that support multiple teams or dashboards.
- Hands-on experience with Cube.js, semantic layers, metric layers, or comparable metric/query abstraction systems.
- Hands-on experience with Apache Flink for real-time stream processing, windowed aggregation, event correlation, or derived-metric generation.
- Experience designing event-driven services and data-ingestion pipelines using Kafka, including integrations with SQL databases, analytical platforms, APIs, and observability systems.
- Strong experience with data modeling, dataset contracts, pre-aggregation, read models, caching, query optimization, and data-quality controls.
- Experience building secure, multi-tenant SaaS platforms with tenant isolation, authentication, authorization, and secure service-to-service communication.
- Experience working with AI/LLM platforms and production AI workloads, including model orchestration, RAG, evaluation, guardrails, or runtime observability.
- Good understanding of REST, OAuth, JSON, SQL, NoSQL databases, and Python or Bash scripting.
- Experience with CI/CD, automated testing, production monitoring, incident response, and Agile development practices.
- Experience with Azure, AWS, Google Cloud, and open-source technologies.
- Ability to lead multi-quarter roadmaps, make practical build-versus-reuse decisions, and align engineering, product, UX, security, platform, and observability teams.
Extra Awesome
- Experience with OpenTelemetry, VictoriaMetrics, Prometheus/MetricsQL, Grafana Loki/LogQL, Grafana Tempo/TraceQL, Alertmanager, or Open Policy Agent.
- Experience integrating with Databricks, Delta Lake, Power BI, or other analytical data platforms.
- Experience building configurable dashboard systems, data visualization frameworks, or design-system-based frontend platforms.
- Experience with AI governance, model risk management, compliance, GRC, audit evidence, or regulatory reporting.
- Experience with graph data models, dependency maps, entity resolution, or supply-chain analysis.
- Experience designing SDK telemetry, model gateways, runtime instrumentation, or post-market monitoring.
- Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
- Background in enterprise, regulated, or security-focused environments.
Where we Work
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits
As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.
Resources
Check out the following to learn more about OneTrust and its people:
- OneTrust Careers on YouTube
- @LifeatOneTrust on Instagram
Your Data
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.
Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Strength in Trust
OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.
The Challenge
As a Senior Staff Software Engineer, you will serve as a technical leader for OneTrust's AI Governance (AIG) platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities.
Your Mission
Development
- Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust's AI Governance product.
- Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
- Lead the architecture and development of reusable AIG reporting and dashboard capabilities that integrate governance data from SQL databases and analytical platforms with runtime observability signals.
- Design reusable semantic-layer and metric-abstraction capabilities, including dataset contracts, metric definitions, query APIs, pre-aggregation, caching, filtering, time-period selection, and drill-down workflows.
- Lead event-driven integrations using Kafka and Apache Flink to consume normalized observability events and produce dashboard-ready datasets and derived metrics.
- Integrate with the AI Observability platform through well-defined APIs and data contracts for runtime metrics, logs, traces, alerts, policy decisions, and evidence.
- Own technical design for critical systems, ensuring scalability, security, and reliability.
- Partner with frontend engineers to build reusable dashboard shells, visualization components, filters, data tables, and entity drill-down experiences.
- Maintain strong automated unit and integration test coverage in line with team standards.
Collaboration
- Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team discussions on system architecture and component design.
- Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
- Lead architecture discussions and technical planning.
- Drive alignment across teams on platform design and priorities.
- Contribute to sprint planning and delivery.
Support
- Reduce defects by identifying and addressing issues early in the development lifecycle.
- Ensure critical and high-priority CII's are delivered per SLA.
- Promote early defect detection through strong design and testing.
- Improve system monitoring, resilience, and operational maturity.
Code Review
- Set standards for clean, secure, and maintainable code.
- Conduct thorough reviews for distributed and AI-enabled systems.
- Guide engineers on testing, automation, and AI system validation.
Lead
- Help build high-performing teams by mentoring the team on new technical skills.
- Influence technical strategy and long-term platform direction.
- Build a culture of ownership, learning, and engineering excellence.
- Lead multi-quarter technical roadmaps across teams and make practical build-versus-reuse decisions.
You Are
A senior technical leader with strong system design and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions.
Your Experience Includes
- Bachelor's or master's degree in computer science, Engineering, or a related technical or business field.
- 12+ years of professional software engineering and development experience.
- Strong expertise in Java/J2EE, Spring, Python, design patterns, microservices, and cloud-native distributed systems.
- Proven experience leading reusable platform, reporting, analytics, or data products that support multiple teams or dashboards.
- Hands-on experience with Cube.js, semantic layers, metric layers, or comparable metric/query abstraction systems.
- Hands-on experience with Apache Flink for real-time stream processing, windowed aggregation, event correlation, or derived-metric generation.
- Experience designing event-driven services and data-ingestion pipelines using Kafka, including integrations with SQL databases, analytical platforms, APIs, and observability systems.
- Strong experience with data modeling, dataset contracts, pre-aggregation, read models, caching, query optimization, and data-quality controls.
- Experience building secure, multi-tenant SaaS platforms with tenant isolation, authentication, authorization, and secure service-to-service communication.
- Experience working with AI/LLM platforms and production AI workloads, including model orchestration, RAG, evaluation, guardrails, or runtime observability.
- Good understanding of REST, OAuth, JSON, SQL, NoSQL databases, and Python or Bash scripting.
- Experience with CI/CD, automated testing, production monitoring, incident response, and Agile development practices.
- Experience with Azure, AWS, Google Cloud, and open-source technologies.
- Ability to lead multi-quarter roadmaps, make practical build-versus-reuse decisions, and align engineering, product, UX, security, platform, and observability teams.
Extra Awesome
- Experience with OpenTelemetry, VictoriaMetrics, Prometheus/MetricsQL, Grafana Loki/LogQL, Grafana Tempo/TraceQL, Alertmanager, or Open Policy Agent.
- Experience integrating with Databricks, Delta Lake, Power BI, or other analytical data platforms.
- Experience building configurable dashboard systems, data visualization frameworks, or design-system-based frontend platforms.
- Experience with AI governance, model risk management, compliance, GRC, audit evidence, or regulatory reporting.
- Experience with graph data models, dependency maps, entity resolution, or supply-chain analysis.
- Experience designing SDK telemetry, model gateways, runtime instrumentation, or post-market monitoring.
- Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
- Background in enterprise, regulated, or security-focused environments.
Where we Work
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits
As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.
Resources
Check out the following to learn more about OneTrust and its people:
- OneTrust Careers on YouTube
- @LifeatOneTrust on Instagram
Your Data
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.
Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
See All 26 Software Engineer AI Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Software Engineer AI Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Consulting & Professional Services
What Georgia Employers Look For
The qualifications that appear most often in software engineer AI jobs across Georgia.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning or large language models
- Hands-on background with cloud platforms, particularly AWS or Google Cloud
- Ability to collaborate with cross-functional product and data engineering teams
- Familiarity with MLOps practices including model versioning, monitoring, and CI/CD pipelines
Software Engineer AI Jobs in Georgia: Frequently Asked Questions
How do you become a software engineer ai in Georgia?
Software engineer ai roles in Georgia do not require a state-issued license. The typical path starts with a bachelor's degree in computer science, machine learning, or a related field from a Georgia institution such as Georgia Tech or Georgia State, followed by hands-on project work in AI or ML. Building a portfolio of deployed models or contributing to open-source AI projects strengthens applications considerably for Georgia employers.
How much do software engineer AIs make in Georgia?
Software engineer AIs in Georgia earn a median of about $131,010 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,110 for the lowest 10% to over $176,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software engineer ais in Georgia?
Employers hiring software engineer ais in Georgia right now include The Home Depot, OneTrust, and McKinsey & Company, based on current listings on Migrate Mate as of September 2026. Georgia's concentration of fintech headquarters, logistics technology firms, and enterprise software companies in the Atlanta metro means AI engineering roles appear across a wide range of industries beyond pure tech.
Which Georgia cities have the most software engineer ai jobs?
Atlanta, Georgia, and Augusta account for the largest share of software engineer ai openings in Georgia. Atlanta anchors the market as the state's primary technology and corporate hub, while Alpharetta's dense corridor of financial technology and cybersecurity firms drives demand in the northern suburbs, and Savannah has seen growth tied to logistics and port-adjacent technology operations.
Are there remote software engineer ai jobs in Georgia?
Yes, and more than most fields. Software engineer ai work is well-suited to remote and hybrid arrangements because the core work involves writing code, training models, and collaborating through cloud-based tools. About 82% of software engineer ai openings tied to Georgia are remote or hybrid as of September 2026, reflecting broad employer flexibility for this role. Model experimentation, code review, and MLOps tasks are the functions most commonly performed fully remote.
How can I get hired as a software engineer ai in Georgia with little or no experience?
The most realistic entry path is applying to new-graduate or associate AI engineer roles at large Georgia employers such as NCR Voyix, Cox Enterprises, or Delta Air Lines, which regularly bring on early-career engineers for structured onboarding programs. Lateral moves from data analyst or software developer roles are a common door into AI teams. A GitHub portfolio with deployed ML projects or a Kaggle competition record gives candidates without professional AI experience a concrete edge over those relying on coursework alone.
Where can I find and apply to software engineer ai jobs in Georgia?
You can find and apply to software engineer ai jobs in Georgia on Migrate Mate, which lists current Georgia openings across Atlanta, Alpharetta, Savannah, and remote positions tied to Georgia employers. Find roles that fit your experience and apply directly to each one.
See All 26 Software Engineer AI Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs