Principal Jobs in Georgia
Principal jobs in Georgia are in strong demand, concentrated in K-12 public school systems, charter networks, and private institutions, with openings at every level from assistant principal through district leadership. Atlanta, Savannah, and Augusta anchor most of the hiring, and large employers including Fulton County Schools, DeKalb County School District, and Clayton County Public Schools consistently recruit principals across a wide range of school sizes and communities. Instructional leadership, special education administration, and turnaround school management are among the most sought-after specializations in Georgia right now. Find a role that fits below and apply directly.
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Showing 5 of 73+ Principal jobs
Principal AI Engineer (SDLC)
Generative AI & Enterprise Applications
About the Role
AT&T is seeking an innovative and results-driven AI Engineer to design, build, and deploy next-generation AI-powered products and platforms across the enterprise. In this role, you will take cutting-edge AI capabilities, including Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and agentic workflows, and transform them into scalable, production-ready business applications.
Unlike traditional AI research roles that focus on inventing models, this position focuses on making AI usable at scale by integrating AI technologies into enterprise software solutions through the full Software Development Life Cycle (SDLC). You will collaborate with software engineers, architects, product teams, and business stakeholders to deliver secure, reliable, and highly scalable AI solutions that drive business value.
This role is ideal for engineers who are passionate about application development, cloud technologies, APIs, automation, and delivering AI-driven experiences that solve real-world business challenges.
Key Responsibilities
AI Product Development
- Design, develop, and deploy AI-powered applications and platforms that support enterprise business objectives.
- Build Generative AI solutions using Large Language Models (LLMs), RAG architectures, and agent-based workflows.
- Develop intelligent assistants, copilots, chatbots, and AI automation solutions that enhance employee and customer experiences.
- Transform AI concepts, proofs of concept, and prototypes into production-ready software products.
Software Engineering & Integration
- Design and build scalable APIs, microservices, and backend services that power AI-enabled applications.
- Integrate AI capabilities into existing enterprise platforms, business systems, and customer-facing applications.
- Develop secure, reliable, and reusable application components within modern software architectures.
- Partner with cross-functional teams to translate business requirements into technical solutions.
Cloud & Platform Engineering
- Deploy and manage AI workloads across cloud environments including Azure and AWS.
- Implement containerized and cloud-native solutions using Kubernetes and modern orchestration technologies.
- Build and maintain enterprise-grade AI platforms capable of supporting high-volume production workloads.
- Optimize performance, reliability, security, and scalability of AI services.
AI Operations & Delivery
- Establish and maintain CI/CD pipelines for AI-enabled applications and services.
- Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI solutions.
- Support model integration, version management, governance, and operational excellence.
- Monitor production environments and continuously improve platform performance and user experience.
Innovation & Collaboration
- Evaluate emerging AI technologies and identify opportunities for enterprise adoption.
- Collaborate with product managers, software engineers, data scientists, UX teams, and business stakeholders.
- Contribute to technical architecture decisions and AI engineering best practices.
- Drive continuous improvement across AI development methodologies and delivery frameworks.
Example Projects You May Build
- Enterprise Generative AI chatbots and virtual assistants
- AI-powered recruiting and talent acquisition solutions
- Customer care AI assistants powered by GPT and LLM technologies
- Retrieval-Augmented Generation (RAG) platforms
- Multi-agent and agentic workflow automation systems
- AI APIs and shared enterprise AI services
- AI-enabled operational intelligence and analytics platforms
Example at AT&T
An AI Engineer may build a Network Operations Copilot that:
- Leverages multiple Large Language Models (LLMs)
- Integrates with trouble-ticket and operational systems
- Provides intelligent outage recommendations
- Surfaces network analytics and operational insights
- Delivers a fully deployed, production-ready software solution
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field
- Experience developing enterprise applications using modern software engineering practices
- Strong proficiency in Python and modern application development frameworks
- Experience building RESTful APIs and microservices
- Knowledge of Generative AI technologies, LLMs, and AI application architectures
- Experience with cloud platforms such as Azure and/or AWS
- Experience working within Agile and SDLC environments
- Knowledge of CI/CD pipelines, DevOps practices, and software release management
- Experience with containerization and orchestration technologies such as Kubernetes and Docker
- Strong problem-solving, analytical, and collaboration skills
Preferred Qualifications
- Experience building RAG (Retrieval-Augmented Generation) solutions
- Experience developing agentic AI workflows and autonomous AI systems
- Knowledge of MLOps platforms and machine learning deployment practices
- Experience integrating AI solutions into enterprise business systems
- Familiarity with vector databases, prompt engineering, and AI evaluation frameworks
- Experience developing scalable cloud-native AI applications
- Exposure to enterprise security, governance, and responsible AI practices
Ideal Background
Candidates may currently hold titles such as:
- AI Engineer
- Generative AI Engineer
- Machine Learning Engineer
- AI Solutions Engineer
- AI Application Engineer
- AI Platform Engineer
Why Join AT&T?
Join a team that is transforming how AI is applied across one of the world's largest technology and communications companies. You'll have the opportunity to build impactful AI products, influence enterprise innovation, and help shape the future of intelligent software delivery at scale.
Apply today and help bring AI from concept to production.
Weekly Hours:
40Time Type:
RegularLocation:
Alpharetta, Georgia, Atlanta, Georgia, Dallas, Texas
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
Principal AI Engineer (SDLC)
Generative AI & Enterprise Applications
About the Role
AT&T is seeking an innovative and results-driven AI Engineer to design, build, and deploy next-generation AI-powered products and platforms across the enterprise. In this role, you will take cutting-edge AI capabilities, including Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and agentic workflows, and transform them into scalable, production-ready business applications.
Unlike traditional AI research roles that focus on inventing models, this position focuses on making AI usable at scale by integrating AI technologies into enterprise software solutions through the full Software Development Life Cycle (SDLC). You will collaborate with software engineers, architects, product teams, and business stakeholders to deliver secure, reliable, and highly scalable AI solutions that drive business value.
This role is ideal for engineers who are passionate about application development, cloud technologies, APIs, automation, and delivering AI-driven experiences that solve real-world business challenges.
Key Responsibilities
AI Product Development
- Design, develop, and deploy AI-powered applications and platforms that support enterprise business objectives.
- Build Generative AI solutions using Large Language Models (LLMs), RAG architectures, and agent-based workflows.
- Develop intelligent assistants, copilots, chatbots, and AI automation solutions that enhance employee and customer experiences.
- Transform AI concepts, proofs of concept, and prototypes into production-ready software products.
Software Engineering & Integration
- Design and build scalable APIs, microservices, and backend services that power AI-enabled applications.
- Integrate AI capabilities into existing enterprise platforms, business systems, and customer-facing applications.
- Develop secure, reliable, and reusable application components within modern software architectures.
- Partner with cross-functional teams to translate business requirements into technical solutions.
Cloud & Platform Engineering
- Deploy and manage AI workloads across cloud environments including Azure and AWS.
- Implement containerized and cloud-native solutions using Kubernetes and modern orchestration technologies.
- Build and maintain enterprise-grade AI platforms capable of supporting high-volume production workloads.
- Optimize performance, reliability, security, and scalability of AI services.
AI Operations & Delivery
- Establish and maintain CI/CD pipelines for AI-enabled applications and services.
- Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI solutions.
- Support model integration, version management, governance, and operational excellence.
- Monitor production environments and continuously improve platform performance and user experience.
Innovation & Collaboration
- Evaluate emerging AI technologies and identify opportunities for enterprise adoption.
- Collaborate with product managers, software engineers, data scientists, UX teams, and business stakeholders.
- Contribute to technical architecture decisions and AI engineering best practices.
- Drive continuous improvement across AI development methodologies and delivery frameworks.
Example Projects You May Build
- Enterprise Generative AI chatbots and virtual assistants
- AI-powered recruiting and talent acquisition solutions
- Customer care AI assistants powered by GPT and LLM technologies
- Retrieval-Augmented Generation (RAG) platforms
- Multi-agent and agentic workflow automation systems
- AI APIs and shared enterprise AI services
- AI-enabled operational intelligence and analytics platforms
Example at AT&T
An AI Engineer may build a Network Operations Copilot that:
- Leverages multiple Large Language Models (LLMs)
- Integrates with trouble-ticket and operational systems
- Provides intelligent outage recommendations
- Surfaces network analytics and operational insights
- Delivers a fully deployed, production-ready software solution
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field
- Experience developing enterprise applications using modern software engineering practices
- Strong proficiency in Python and modern application development frameworks
- Experience building RESTful APIs and microservices
- Knowledge of Generative AI technologies, LLMs, and AI application architectures
- Experience with cloud platforms such as Azure and/or AWS
- Experience working within Agile and SDLC environments
- Knowledge of CI/CD pipelines, DevOps practices, and software release management
- Experience with containerization and orchestration technologies such as Kubernetes and Docker
- Strong problem-solving, analytical, and collaboration skills
Preferred Qualifications
- Experience building RAG (Retrieval-Augmented Generation) solutions
- Experience developing agentic AI workflows and autonomous AI systems
- Knowledge of MLOps platforms and machine learning deployment practices
- Experience integrating AI solutions into enterprise business systems
- Familiarity with vector databases, prompt engineering, and AI evaluation frameworks
- Experience developing scalable cloud-native AI applications
- Exposure to enterprise security, governance, and responsible AI practices
Ideal Background
Candidates may currently hold titles such as:
- AI Engineer
- Generative AI Engineer
- Machine Learning Engineer
- AI Solutions Engineer
- AI Application Engineer
- AI Platform Engineer
Why Join AT&T?
Join a team that is transforming how AI is applied across one of the world's largest technology and communications companies. You'll have the opportunity to build impactful AI products, influence enterprise innovation, and help shape the future of intelligent software delivery at scale.
Apply today and help bring AI from concept to production.
Weekly Hours:
40Time Type:
RegularLocation:
Alpharetta, Georgia, Atlanta, Georgia, Dallas, Texas
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
See All 73 Principal Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Principal JobsPrincipal Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Principal Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Accounting & Auditing
What Georgia Employers Look For
The qualifications that appear most often in principal jobs across Georgia.
- Active Georgia L-5 Leadership certification issued by the Georgia Professional Standards Commission
- Master's degree or higher in educational leadership, administration, or a related field
- Minimum of five years of certified teaching experience in an accredited school
- Demonstrated experience leading school improvement or instructional coaching initiatives
- Proficiency with Georgia's educator evaluation system, TKES, and student data platforms
- Strong knowledge of Georgia's College and Career Ready Performance Index accountability framework
Principal Jobs in Georgia: Frequently Asked Questions
How do you become a principal in Georgia?
To become a principal in Georgia you must hold a Georgia L-5 Leadership certification, which is issued by the Georgia Professional Standards Commission. Candidates typically complete an approved Educational Leadership preparation program at a Georgia university, earn a master's degree or higher, and fulfill a supervised leadership internship. Many districts also require prior classroom teaching experience before a candidate is eligible for an administrative position.
Which companies hire principals in Georgia?
Employers hiring principals in Georgia right now include ECS Limited, AT&T, and Intuit, based on current listings on Migrate Mate as of September 2026. Georgia's large metro districts, charter management organizations, and private school networks each post openings on a rolling basis throughout the school year and into summer hiring season.
Which Georgia cities have the most principal jobs?
Atlanta, Georgia, and Kennesaw have the most principal openings in Georgia. The Atlanta metro drives the highest volume because it is home to some of the largest public school districts in the Southeast, including Fulton, DeKalb, and Gwinnett County Schools, while Savannah and Augusta reflect the steady hiring activity of their respective county school systems and growing charter sectors.
Are there remote principal jobs in Georgia?
Yes, but they're rare. Principal roles are fundamentally on-site positions requiring daily physical presence in a school building to lead staff, support students, and manage operations. About 71% of principal openings tied to Georgia are remote or hybrid as of September 2026, and those tend to be in virtual school programs or district-level administrative roles rather than traditional campus leadership positions.
How can I get hired as a principal in Georgia with little or no experience?
The most realistic entry path is an assistant principal role, which most Georgia districts use as the formal pipeline into school leadership. Large employers such as Fulton County Schools and Gwinnett County Public Schools regularly hire assistant principals from their own teacher and instructional coach ranks. Completing an approved Educational Leadership graduate program at a Georgia university, earning your L-5 certification, and volunteering for department head or grade-level leadership roles within your current school are the credentials that open the door.
Where can I find and apply to principal jobs in Georgia?
You can find and apply to principal jobs in Georgia on Migrate Mate, which lists current Georgia openings updated regularly. Find roles that fit your experience and certification level and apply directly to the employers posting them.
See All 73 Principal Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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