AI Software Developer Jobs in Atlanta, GA
AI Software Developer jobs in Atlanta are concentrated in Midtown, Buckhead, and the Westside Tech Corridor, with strong demand across fintech, healthcare IT, and enterprise software. Companies hiring right now include Honeywell, Travelers, and The Home Depot. Scan the live roles below and apply to whichever ones fit.
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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 Atlanta
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Find AI Software Developer JobsAI Software Developer Job Market in Atlanta
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Electronics & Hardware
- Consulting & Professional Services
AI Software Developer Jobs in Atlanta: Frequently Asked Questions
How do I get a ai software developer job in Atlanta?
Focus your search on Atlanta's fintech corridor along Peachtree Street, the healthcare IT clusters anchored by Northside and Emory affiliates, and the enterprise software firms in Midtown and Buckhead. Candidates with hands-on experience in large language models, MLOps, or cloud-native AI pipelines stand out locally. Targeting mid-size Atlanta-based startups and established tech hubs in the Westside Tech Corridor tends to yield faster traction than pursuing national firms alone.
Which companies hire ai software developers in Atlanta?
Atlanta ai software developer roles are posted by Honeywell, Travelers, and The Home Depot and others right now, based on current listings on Migrate Mate as of August 2026. Atlanta's employer mix runs from global payments and financial technology firms to regional healthcare systems and fast-growing SaaS companies, giving candidates a range of industry contexts to target.
Are there remote ai software developer jobs in Atlanta?
Yes, ai software developer work is highly remote-compatible given its desk-based, collaborative nature. About 94% of ai software developer openings tied to Atlanta are remote or hybrid as of August 2026, reflecting broader tech industry flexibility. Model development, data pipeline work, and research-focused roles tend to be the most remote-friendly among Atlanta-listed positions.
How can I get a ai software developer job in Atlanta with little or no experience?
The most realistic entry path in Atlanta is through junior or associate roles at mid-size fintech and healthcare IT companies, which hire more entry-level talent than the large enterprise firms. Contributing to AI-focused projects through Georgia Tech's research programs or Atlanta-based startup accelerators like Atlanta Tech Village can build a visible portfolio. Lateral moves from data analyst or software engineer roles into AI tooling teams are also common locally.
Which industries hire the most ai software developers in Atlanta?
Atlanta ai software developer roles concentrate in Insurance, Technology & Software, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. Atlanta's position as a national hub for financial technology, a growing healthcare IT sector anchored by major hospital networks, and a maturing enterprise software scene drive consistent demand for AI-focused developers across these verticals.
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See All 24 AI Software Developer Jobs in Atlanta
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