AI Architect Jobs in Georgia
AI Architect jobs in Georgia are in strong demand, concentrated in enterprise technology, financial services, healthcare IT, and defense contracting, with openings at every level from associate architect through principal and staff engineer. Atlanta is the dominant hiring hub, with secondary activity in Savannah and Augusta as logistics and military-adjacent tech employers expand. Well-established names such as NCR Voyix, Delta Air Lines, and Equifax maintain large Georgia presences and hire ai architects consistently across cloud AI, data platform, and ML systems specialties. Find a role that fits below and apply directly.
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Description
Make no mistake, this is a software engineering role first. You will spend your days writing code and building tooling, not managing spreadsheets. You will build AI tooling that optimizes AWS spend across our development and product estate, one of the largest ISV footprints on AWS. The work goes well beyond detecting and reporting cost. You will build tooling that plugs directly into the software development lifecycle to protect against cost overruns before they happen, and AI-driven automation that can auto-resolve cost issues without waiting on a human to notice.
A Typical Day in the Life Includes:
- Design and build AI tooling and agents that monitor, forecast, and auto-resolve cloud cost issues across AWS accounts, with a focus on AI and GPU inference spend.
- Integrate cost guardrails directly into the SDLC and CI/CD pipelines so that cost overruns are caught at commit, build, and deploy time rather than on a monthly bill.
- Build the detection-to-remediation loop: anomaly detection, root-cause attribution, and automated actions such as budget enforcement, right-sizing, and policy checks.
- Instrument workloads at the account and API level, model token and inference economics, and turn findings into org-wide best practices and reusable tooling.
- Extend cost attribution and reporting so spend maps cleanly to teams and business outcomes, and surface it in executive dashboards.
- Partner hands-on with engineering teams across hundreds of organizations, meeting them in their own codebases and pipelines, to embed cost tooling that accelerates their delivery timelines forward instead of slowing them down.
- Collaborate with Infor's internal FinOps team to translate cost strategy into working software, and with platform teams on centralized controls such as Service Control Policies, budget gateways, and account guardrails.
- Act as the technical project lead for your workstream: shape the roadmap, break down the work, drive it through others, and keep stakeholders and executive team aligned without needing to be told what to do next.
- Fully autonomous. You set your own direction from business context. You do not wait for work to be assigned.
- Data driven. You ground decisions in evidence and measurement. If it cannot be measured, you build the measurement first.
- Ownership. You treat the outcome as yours end to end, from the idea through to the dollars saved in production.
- Say-do. You say it, you hit it. Commitments are commitments, and your word is your bond.
- Leads through others. You set the example, raise the bar for the engineers around you, and multiply your impact across teams rather than keeping it to yourself.
Basic Qualifications:
- 8+ years of professional software engineering experience building and operating production systems and internal tooling or platforms.
- Expert-level proficiency in at least one modern language used for tooling and automation, such as Python, Java, or Go.
- Deep, hands-on AWS experience, including cost and billing services (Cost Explorer, Cost and Usage Report, Budgets), IAM, Lambda, and tagging strategy.
- Proven experience building automation and data pipelines, and integrating tooling into CI/CD and the SDLC.
- Working knowledge of cloud cost and unit economics (showback, chargeback, cost attribution) is a plus, but this role builds the tooling; a dedicated FinOps team owns the financial reporting.
- Practical experience integrating or building with LLMs or AI agents, and a clear understanding of token and inference cost drivers.
- Strong technical project management instincts: you can scope, sequence, and drive cross-team work to completion, and communicate clearly with both engineers and executives.
- Ability to work from an Infor Hub in Dallas, TX or Atlanta, GA, with a daily overlap of 10:00 AM to 3:00 PM EST.
- Bachelor's degree in computer science or a related field, or equivalent practical experience.
Preferred Qualifications:
- Enterprise software architecture experience.
- Hands-on experience optimizing AI and GPU inference cost, including model-tier selection, prompt and caching strategy, and budget enforcement for autonomous or headless workloads.
- Experience with agentic frameworks and running multi-agent pipelines through human review gates.
- Experience with AWS Bedrock, Service Control Policies, and centralized budget or gateway enforcement at scale.
- Infrastructure as code (Terraform or CloudFormation) and container platforms (ECS, EKS, Kubernetes).
- Experience operating in a large multi-account, multi-team enterprise AWS environment.
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
For more information visit www.infor.com
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
For more information visit www.infor.com
Our Values
We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.
Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.
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See All 31 AI Architect Jobs in Georgia
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Find AI Architect JobsAI Architect Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
AI Architect Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Distribution & Wholesale
- Transportation & Logistics
- Consulting & Professional Services
What Georgia Employers Look For
The qualifications that appear most often in AI architect jobs across Georgia.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience designing and deploying large-scale AI and ML systems in production environments
- Proficiency in cloud platforms such as AWS, Google Cloud, or Azure with AI and MLOps tooling
- Experience with LLM integration, generative AI frameworks, or foundation model fine-tuning pipelines
- Ability to translate complex business requirements into scalable AI architecture blueprints for stakeholders
- Familiarity with enterprise data governance, security compliance, and responsible AI standards
AI Architect Jobs in Georgia: Frequently Asked Questions
How do you become a ai architect in Georgia?
There is no state-issued license required to work as an ai architect in Georgia. The typical path begins with a bachelor's degree in computer science, data science, or software engineering, followed by several years of hands-on ML engineering or data architecture experience. Georgia employers strongly value vendor certifications from AWS, Google Cloud, or Microsoft Azure. Building a portfolio of end-to-end AI system designs and contributing to visible projects accelerates hiring consideration significantly.
How much do AI architects make in Georgia?
AI architects in Georgia earn a median of about $104,610 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,920 for the lowest 10% to over $173,060 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Georgia?
Employers hiring ai architects in Georgia right now include EY, Capgemini, and Booz Allen Hamilton, based on current listings on Migrate Mate as of September 2026. Georgia's concentration of financial technology firms, large logistics companies, and defense contractors means demand cuts across several distinct industry verticals rather than a single sector.
Which Georgia cities have the most ai architect jobs?
Atlanta, Duluth, and Georgia have the most ai architect openings in Georgia. Atlanta dominates because it is home to the headquarters and major operations centers of large financial, media, and enterprise technology companies that run significant AI programs, while any smaller or suburban markets on the list reflect the distributed campuses and R&D offices those same employers and defense contractors operate outside the city core.
Are there remote ai architect jobs in Georgia?
Yes, and more than most fields. About 69% of ai architect openings tied to Georgia are remote or hybrid as of September 2026, reflecting how much of the work centers on design, modeling, and code review rather than on-site infrastructure. The portions of the role most likely to remain fully remote are system design, stakeholder architecture reviews, and model evaluation, while deployment validation at regulated facilities may require occasional in-person presence.
How can I get hired as a ai architect in Georgia with little or no experience?
The most realistic entry path is moving laterally from a data engineering, ML engineering, or cloud solutions engineer role into an associate or junior architect position. Georgia employers such as large Atlanta-based financial institutions and technology consultancies frequently hire from their own engineering teams for architecture roles. Earning a recognized cloud AI certification and completing a personal or open-source project that demonstrates end-to-end system design gives candidates without a formal architect title a concrete credential to present during interviews.
Where can I find and apply to ai architect jobs in Georgia?
You can find and apply to ai architect jobs in Georgia on Migrate Mate, which lists current Georgia openings updated regularly. Find the roles that match your experience level and target location, then apply directly to each one through the listing.
See All 31 AI Architect Jobs in Georgia
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