AI Software Developer Jobs in Georgia
AI Software Developer jobs in Georgia are among the most actively recruited technology roles in the state, with strong demand from entry-level engineers through principal-level architects concentrated in enterprise software, financial technology, and logistics technology. Atlanta leads hiring alongside growing markets in Alpharetta and Savannah, where established employers such as NCR Voyix, Fiserv, and Cox Enterprises maintain significant engineering operations. The most in-demand specialties in Georgia are machine learning engineering, natural language processing, and applied AI for cloud-native platforms. Find a role that fits below and apply directly.
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Interface is a global flooring and sustainability leader dedicated to rethinking how spaces work for people and the planet. Our portfolio includes Interface® carpet tile and LVT, nora® rubber flooring, and FLOR® premium area rugs. Across every brand, we innovate in a way that combines design, performance, and sustainability—without compromise.
Trusted by architects, designers, and building professionals worldwide, we help bring bold visions to life with solutions that deliver real, measurable impact. Building on more than 30 years of sustainability progress and industry‑first innovation, we remain ‘all in’ on our goal of becoming carbon negative by 2040, without the use of offsets.
The Director, Enterprise Artificial Intelligence (AI) is responsible for driving the execution of Interface’s enterprise AI strategy—translating vision into scalable, secure, and value-generating solutions across commercial and corporate functions.
This role serves as the bridge between business leaders, technology teams, and strategic partners to identify, prioritize, and deliver AI use cases that improve decision-making, accelerate growth, and increase operational efficiency—while ensuring strong governance, security, and ethical use of AI.
The role will act as Interface’s AI execution leader, owning delivery, adoption, and measurable outcomes, not experimentation in isolation.
Key Responsibilities:
AI Strategy Execution & Delivery
- Execute Interface’s enterprise AI roadmap, aligned to company strategy, digital priorities, and value creation goals.
- Translate strategic AI priorities into clearly defined programs, use cases, and roadmaps with measurable business outcomes.
- Lead delivery of AI initiatives across domains and functions.
- Provides Project Management services for the key AI projects.
Use Case Identification & Business Partnership
- Partner with senior business leaders to identify, vet, and prioritize high-impact AI opportunities.
- Drive structured use case intake, value assessment, and sequencing to ensure focus on ROI-driven outcomes.
- Serve as a trusted advisor to business teams on where and how AI can responsibly accelerate results.
AI Architecture
- Define and lead the enterprise AI architecture strategy, establishing scalable, secure, and reusable AI platforms, services, and integration patterns
- Design and govern the enterprise AI ecosystem, including large language models (LLMs), AI agents, knowledge platforms, data foundations, vector databases, orchestration frameworks, APIs, and cloud AI services
- Architect enterprise data and knowledge foundations for AI, including data pipelines, metadata, semantic layers, retrieval-augmented generation (RAG), knowledge management, and data quality controls required to deliver trusted AI outcomes.
- Drive AI technology standards and solution architecture reviews, evaluating emerging AI capabilities, platforms, vendors, and reference architectures while ensuring interoperability, scalability, reliability, and operational excellence across the enterprise
Governance, Risk & Responsible AI
- Lead AI governance in partnership with Security, Legal, Privacy, and Compliance teams.
- Ensure AI solutions align with Interface standards for:
- Data privacy and security
- Ethical and responsible AI use
- Model transparency and explainability
- Establish guardrails, patterns, and standards for internal and vendor-provided AI solutions.
Technology & Partner Management
- Leverage strategic platforms and partners (e.g., Microsoft, Salesforce, Adobe, Workday, others) to accelerate AI adoption.
- Evaluate third-party AI tools and embedded AI capabilities with a “buy vs. build” mindset.
- Collaborate with Enterprise Architecture and Engineering teams to ensure scalability, interoperability, and long-term viability.
- Define and track adoption, usage, and value realization metrics.
Team Leadership & Operating Model
- Lead and mentor a small, high-impact AI delivery team (internal and/or hybrid with partners).
- Establish a lean operating model focused on rapid iteration, business outcomes, and continuous improvement.
- Influence without authority across global, matrixed teams.
- Bachelor’s degree in computer science, Engineering, Business, or related field; Master’s preferred.
- 8–12+ years of experience across digital, analytics, AI, or advanced technology roles.
- Proven experience leading enterprise AI or advanced analytics initiatives from concept through production.
- Strong understanding of:
- Applied AI / machine learning concepts (not pure research)
- Data platforms, cloud ecosystems, and modern enterprise architectures
- AI risks related to privacy, security, bias, and compliance
- Demonstrated ability to partner with senior business leaders and influence outcomes.
- Experience operating in a global, matrixed organization.
- Experience deploying AI solutions leveraging hyperscale’s (e.g., Microsoft Azure AI / Google Cloud)
- Background in manufacturing, industrial, supply chain, or commercial B2B environments.
- Exposure to embedded AI within enterprise platforms (CRM, ERP, productivity tools).
- Experience establishing AI governance frameworks or centers of enablement
Learn more about Interface (NASDAQ: TILE) and our brands at interface.com and FLOR.com . Join us on Facebook , Instagram , LinkedIn , and Pinterest .
Interface is a global flooring and sustainability leader dedicated to rethinking how spaces work for people and the planet. Our portfolio includes Interface® carpet tile and LVT, nora® rubber flooring, and FLOR® premium area rugs. Across every brand, we innovate in a way that combines design, performance, and sustainability—without compromise.
Trusted by architects, designers, and building professionals worldwide, we help bring bold visions to life with solutions that deliver real, measurable impact. Building on more than 30 years of sustainability progress and industry‑first innovation, we remain ‘all in’ on our goal of becoming carbon negative by 2040, without the use of offsets.
The Director, Enterprise Artificial Intelligence (AI) is responsible for driving the execution of Interface’s enterprise AI strategy—translating vision into scalable, secure, and value-generating solutions across commercial and corporate functions.
This role serves as the bridge between business leaders, technology teams, and strategic partners to identify, prioritize, and deliver AI use cases that improve decision-making, accelerate growth, and increase operational efficiency—while ensuring strong governance, security, and ethical use of AI.
The role will act as Interface’s AI execution leader, owning delivery, adoption, and measurable outcomes, not experimentation in isolation.
Key Responsibilities:
AI Strategy Execution & Delivery
- Execute Interface’s enterprise AI roadmap, aligned to company strategy, digital priorities, and value creation goals.
- Translate strategic AI priorities into clearly defined programs, use cases, and roadmaps with measurable business outcomes.
- Lead delivery of AI initiatives across domains and functions.
- Provides Project Management services for the key AI projects.
Use Case Identification & Business Partnership
- Partner with senior business leaders to identify, vet, and prioritize high-impact AI opportunities.
- Drive structured use case intake, value assessment, and sequencing to ensure focus on ROI-driven outcomes.
- Serve as a trusted advisor to business teams on where and how AI can responsibly accelerate results.
AI Architecture
- Define and lead the enterprise AI architecture strategy, establishing scalable, secure, and reusable AI platforms, services, and integration patterns
- Design and govern the enterprise AI ecosystem, including large language models (LLMs), AI agents, knowledge platforms, data foundations, vector databases, orchestration frameworks, APIs, and cloud AI services
- Architect enterprise data and knowledge foundations for AI, including data pipelines, metadata, semantic layers, retrieval-augmented generation (RAG), knowledge management, and data quality controls required to deliver trusted AI outcomes.
- Drive AI technology standards and solution architecture reviews, evaluating emerging AI capabilities, platforms, vendors, and reference architectures while ensuring interoperability, scalability, reliability, and operational excellence across the enterprise
Governance, Risk & Responsible AI
- Lead AI governance in partnership with Security, Legal, Privacy, and Compliance teams.
- Ensure AI solutions align with Interface standards for:
- Data privacy and security
- Ethical and responsible AI use
- Model transparency and explainability
- Establish guardrails, patterns, and standards for internal and vendor-provided AI solutions.
Technology & Partner Management
- Leverage strategic platforms and partners (e.g., Microsoft, Salesforce, Adobe, Workday, others) to accelerate AI adoption.
- Evaluate third-party AI tools and embedded AI capabilities with a “buy vs. build” mindset.
- Collaborate with Enterprise Architecture and Engineering teams to ensure scalability, interoperability, and long-term viability.
- Define and track adoption, usage, and value realization metrics.
Team Leadership & Operating Model
- Lead and mentor a small, high-impact AI delivery team (internal and/or hybrid with partners).
- Establish a lean operating model focused on rapid iteration, business outcomes, and continuous improvement.
- Influence without authority across global, matrixed teams.
- Bachelor’s degree in computer science, Engineering, Business, or related field; Master’s preferred.
- 8–12+ years of experience across digital, analytics, AI, or advanced technology roles.
- Proven experience leading enterprise AI or advanced analytics initiatives from concept through production.
- Strong understanding of:
- Applied AI / machine learning concepts (not pure research)
- Data platforms, cloud ecosystems, and modern enterprise architectures
- AI risks related to privacy, security, bias, and compliance
- Demonstrated ability to partner with senior business leaders and influence outcomes.
- Experience operating in a global, matrixed organization.
- Experience deploying AI solutions leveraging hyperscale’s (e.g., Microsoft Azure AI / Google Cloud)
- Background in manufacturing, industrial, supply chain, or commercial B2B environments.
- Exposure to embedded AI within enterprise platforms (CRM, ERP, productivity tools).
- Experience establishing AI governance frameworks or centers of enablement
Learn more about Interface (NASDAQ: TILE) and our brands at interface.com and FLOR.com . Join us on Facebook , Instagram , LinkedIn , and Pinterest .
See All 24 AI Software Developer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
AI Software Developer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Electronics & Hardware
- Healthcare & Medical Services
- Consulting & Professional Services
What Georgia Employers Look For
The qualifications that appear most often in AI software developer jobs across Georgia.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms, particularly Google Cloud, AWS, or Microsoft Azure
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Experience with MLOps practices including model versioning, monitoring, and CI/CD integration
AI Software Developer Jobs in Georgia: Frequently Asked Questions
How do you become a ai software developer in Georgia?
Most ai software developers in Georgia enter the field through a bachelor's degree in computer science, data science, or a related discipline, followed by practical project experience with machine learning frameworks. Georgia does not require a state-issued license to work as an ai software developer. Employers in Atlanta's technology corridor typically look for candidates with demonstrated model-building portfolios, contributions to open-source ML projects, or completion of graduate coursework at Georgia Tech or Georgia State University.
How much do AI software developers make in Georgia?
AI software developers 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 ai software developers in Georgia?
Employers hiring ai software developers in Georgia right now include Symphony Solutions, Honeywell, and Travelers, based on current listings on Migrate Mate as of August 2026. Georgia's concentration of financial technology firms, telecommunications companies, and enterprise software headquarters means demand runs across multiple industries rather than a single sector.
Which Georgia cities have the most ai software developer jobs?
Atlanta, Alpharetta, and Georgia have the most ai software developer openings in Georgia. Atlanta anchors the market as the state's dominant technology hub, home to major enterprise and fintech employers, while Alpharetta's technology corridor drives significant demand from mid-size software and data companies, and Savannah has seen growing engineering investment tied to logistics technology and port-related operations.
Are there remote ai software developer jobs in Georgia?
Yes, and more than most fields. About 88% of ai software developer openings tied to Georgia are remote or hybrid as of August 2026, reflecting how well the work translates to distributed teams. Model research, experimentation, and data pipeline development are the tasks most commonly performed fully remote, while roles involving proprietary enterprise data or regulated financial systems tend to require at least some on-site presence.
How can I get hired as a ai software developer in Georgia with little or no experience?
The most realistic entry path is through a data analyst or software engineering role at a Georgia company that has an internal AI team, then transitioning after demonstrating ML project work. Cox Enterprises and NCR Voyix have historically run associate engineering programs that accept recent graduates. Building a public portfolio of machine learning projects on GitHub, completing Georgia Tech's online machine learning courses, and targeting junior ML engineer or AI associate titles gives candidates the strongest foundation without prior industry experience.
Where can I find and apply to ai software developer jobs in Georgia?
You can find and apply to ai software developer jobs in Georgia on Migrate Mate, which lists current Georgia openings updated regularly. Find the roles that fit your background and apply directly to the employers posting them.
See All 24 AI Software Developer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI Software Developer Jobs