Enterprise Sales Engineer Jobs in Georgia
Enterprise Sales Engineer jobs in Georgia are highly active, concentrated in technology, cybersecurity, cloud infrastructure, and manufacturing software sectors, with openings at every level from early-career through principal and staff engineer. Atlanta anchors the bulk of hiring, with meaningful activity also in Alpharetta and Savannah, where established employers like NCR Voyix, Palo Alto Networks, and IBM maintain significant Georgia footprints. Cloud platforms, SaaS sales cycles, and industrial automation are the most in-demand specialties for this role in the state. Find a role that fits below and apply directly.
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Showing 5 of 17+ Enterprise Sales Engineer jobs
Business Unit / Role Specific Info
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate program and contribute to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions.
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You’ll collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely.
Minimum Qualifications
- Must have earned a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
- Knowledge of Python and foundational data processing technologies.
- Foundational understanding of computer science concepts, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
- Foundational understanding of machine learning concepts such as supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
- Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.
- Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
- Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when work is unclear or outside standard guidance. Strong communication, collaboration, documentation, and learning agility with the ability to work effectively across technical and non-technical teams.
-
Preferred Qualifications
Bachelor’s degree candidates with an expected graduation date between December 2026 and June 2027.
- Experience through academic coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
- Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
- Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, or other modern language models.
- Exposure to LLM APIs or similar AI models, including prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent workflow concepts.
- Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems.
- Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring.
- Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software engineering workflows.
- Exposure to version control systems such as Git and collaborative software development workflows. Curiosity for AI powered developer tools, responsible AI practices, governance, security, model documentation, and enterprise-scale delivery.
-
Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
Business Unit / Role Specific Info
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate program and contribute to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions.
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You’ll collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely.
Minimum Qualifications
- Must have earned a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
- Knowledge of Python and foundational data processing technologies.
- Foundational understanding of computer science concepts, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
- Foundational understanding of machine learning concepts such as supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
- Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.
- Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
- Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when work is unclear or outside standard guidance. Strong communication, collaboration, documentation, and learning agility with the ability to work effectively across technical and non-technical teams.
-
Preferred Qualifications
Bachelor’s degree candidates with an expected graduation date between December 2026 and June 2027.
- Experience through academic coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
- Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
- Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, or other modern language models.
- Exposure to LLM APIs or similar AI models, including prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent workflow concepts.
- Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems.
- Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring.
- Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software engineering workflows.
- Exposure to version control systems such as Git and collaborative software development workflows. Curiosity for AI powered developer tools, responsible AI practices, governance, security, model documentation, and enterprise-scale delivery.
-
Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
See All 17 Enterprise Sales Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find JobsEnterprise Sales Engineer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Enterprise Sales Engineer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Automotive
- Cybersecurity
- Healthcare & Medical Services
What Georgia Employers Look For
The qualifications that appear most often in enterprise sales engineer jobs across Georgia.
- Bachelor's degree in engineering, computer science, or a related technical field required
- Five or more years of enterprise software or technology sales engineering experience preferred
- Demonstrated ability to lead technical discovery and solution presentations for C-suite audiences
- Hands-on proficiency with CRM platforms such as Salesforce and enterprise integration tools
- Experience with cloud platforms including AWS, Azure, or Google Cloud in a pre-sales context
- Strong written and verbal communication skills for complex technical proposals and RFP responses
Enterprise Sales Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a enterprise sales engineer in Georgia?
The most common path into an enterprise sales engineer role in Georgia starts with a bachelor's degree in engineering, computer science, or information systems, followed by experience in a technical role such as systems administration, software development, or IT consulting. Georgia does not require a state-issued license for this position. Most Georgia employers look for candidates who can bridge technical depth with sales acumen, so building experience in client-facing technical roles within Atlanta's technology corridor is a strong foundation.
How much do enterprise sales engineers make in Georgia?
Enterprise sales engineers in Georgia earn a median of about $98,840 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $72,580 for the lowest 10% to over $159,760 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire enterprise sales engineers in Georgia?
Employers hiring enterprise sales engineers in Georgia right now include American Express, Fanduel, and The Home Depot, based on current listings on Migrate Mate as of September 2026. Georgia's concentration of technology headquarters and regional offices, particularly along the Alpharetta and Atlanta corridor, means many national and global enterprise software companies maintain active pre-sales teams in the state.
Which Georgia cities have the most enterprise sales engineer jobs?
Atlanta, Georgia, and Gwinnett County have the most enterprise sales engineer openings in Georgia. Atlanta drives the majority of demand as the state's primary technology and corporate hub, home to the headquarters and regional offices of major cloud, fintech, and cybersecurity employers, while Alpharetta's dense concentration of technology firms and Savannah's growing logistics and industrial technology sector account for meaningful activity in those markets.
Are there remote enterprise sales engineer jobs in Georgia?
Yes, and more than most fields. About 89% of enterprise sales engineer openings tied to Georgia are remote or hybrid as of September 2026, reflecting how heavily the role relies on virtual demos, digital collaboration tools, and distributed sales team structures. The portions of the role most likely to remain fully remote are technical discovery calls, solution presentations, and proposal development, while on-site engagement with key accounts or executive stakeholders is common for senior positions.
How can I get hired as a enterprise sales engineer in Georgia with little or no experience?
The most realistic entry point is moving laterally from a technical support, solutions consultant, or inside sales role at a Georgia-based technology company, where you already interact with enterprise clients and product teams. Large Georgia employers in Alpharetta's technology corridor and Atlanta's Midtown and Buckhead office markets frequently bring on associate pre-sales engineers or technical sales development representatives as stepping-stone roles. Earning a vendor certification in AWS, Salesforce, or a major cybersecurity platform gives candidates without a formal pre-sales background a concrete credential that hiring managers in Georgia recognize.
Where can I find and apply to enterprise sales engineer jobs in Georgia?
You can find and apply to enterprise sales engineer jobs in Georgia on Migrate Mate, which lists current Georgia openings across Atlanta, Alpharetta, Savannah, and other markets in the state. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 17 Enterprise Sales Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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