AI Data Engineer Jobs in Georgia
AI Data Engineer jobs in Georgia are in strong and growing demand, concentrated in fintech, healthcare IT, logistics, and enterprise software, with openings at every level from entry-level data associates through senior ML infrastructure engineers. Atlanta is the dominant hiring hub, joined by Alpharetta and Marietta, where companies like NCR Voyix, Cox Enterprises, and Delta Air Lines maintain substantial technology operations. The most sought-after specialties in Georgia right now are MLOps pipeline development, real-time data streaming, and cloud-native data architecture on AWS and Google Cloud. Find a role that fits below and apply directly.
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Meet the Team
As Cisco leads in AI innovation—both within our product portfolio and across internal operations—the volume and complexity of AI-related procurement and strategic transactions have grown significantly. Our team is tasked with managing high-stakes deal negotiations, coordinating with leadership, and ensuring consistent protection of Cisco’s IP and data in an AI environment. We are seeking a seasoned counsel to join our team, provide deep institutional knowledge, and drive our FY27 AI acceleration goals by helping us drive and close Cisco’s high impact deals.
Your Impact
- Operational Excellence: You will manage a rapid pipeline of deal inquiries, accelerating business momentum while maintaining high-quality risk mitigation.
- Contracting: Draft and negotiate complex AI procurement, SaaS, and data licensing agreements, and assist business leaders at all levels in navigating and negotiating complex AI deals.
- Oversight: Lead negotiation process and quality control for contract lifecycle assisted by AI tools.
- Thought Leadership: Stay current on benchmarking, contracting trends, and AI/Data regulations that affect our contracting positions and translate these into internal playbooks and guidelines.
- Collaboration: Drive cross-functional initiatives related to contracts and data and AI strategy.
- Strategic Guidance: You will translate complex regulatory and legal risks into practical advice for internal clients to help them understand our contractual terms, and the risks and mitigations associated with deviations.
- Innovation Champion: You will leverage AI-powered analytics and legal tools to automate routine tasks, allowing you to focus on high-value legal strategy and complex negotiations.
- Trusted Advisor: You will build strong relationships across the business, guiding on legal and contractual issues that may arise in executing product roadmaps and Go-to-Market strategies.
- Education: Juris Doctorate (JD) or equivalent from an accredited law school.
- Admission: Admission to at least one U.S. state bar or relevant jurisdiction.
- Experience: At least five years of relevant legal experience, preferably in technology transactions, software/SaaS, or AI/data-related matters.
- Skills: Exceptional drafting, negotiation, and communication skills. High level of analytical and business judgment.
- 1-2 years of experience with AI/ML legal issues
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $178,900.00 to $226,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Additional paid time away may be requested to deal with critical or emergency issues for family members
- Optional 10 paid days per full calendar year to volunteer
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
- 1.5% of incentive target for each 1% of attainment between 50% and 75%;
- 1% of incentive target for each 1% of attainment between 75% and 100%; and
- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$214,800.00 - $312,400.00
Non-Metro New York state& Washington state:
$190,800.00 - $277,500.00
- For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
See All 36 AI Data Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
AI Data Engineer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Insurance
- Consulting & Professional Services
- Airlines
- Electronics & Hardware
What Georgia Employers Look For
The qualifications that appear most often in AI data engineer jobs across Georgia.
- Bachelor's or master's degree in computer science, data engineering, or a related quantitative field
- Proficiency in Python and SQL with hands-on experience building production data pipelines
- Experience with cloud data platforms such as AWS, Google Cloud, or Azure in enterprise environments
- Familiarity with ML frameworks and tools including TensorFlow, PyTorch, or Spark MLlib
- Knowledge of data orchestration tools such as Apache Airflow, dbt, or Databricks
- Strong understanding of data governance, data quality practices, and CI/CD workflows for data systems
AI Data Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a ai data engineer in Georgia?
Most Georgia employers expect a bachelor's degree in computer science, data science, or a related field as the baseline credential. There is no state-issued license required to work as an ai data engineer in Georgia. The standard path is completing a relevant four-year or graduate program, building hands-on project experience with cloud platforms and ML pipelines, and earning industry certifications such as Google Professional Data Engineer or AWS Certified Data Analytics that Georgia technology employers consistently recognize.
How much do AI data engineers make in Georgia?
AI data engineers in Georgia earn a median of about $104,340 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $67,750 for the lowest 10% to over $170,010 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Georgia?
Employers hiring ai data engineers in Georgia right now include Truist, Logic, and Travelers, based on current listings on Migrate Mate as of September 2026. Georgia's concentration of Fortune 500 headquarters, major fintech firms, and large healthcare systems in the Atlanta metro makes it one of the more active markets in the Southeast for this role.
Which Georgia cities have the most ai data engineer jobs?
Atlanta, Georgia, and Augusta have the most ai data engineer openings in Georgia. Atlanta anchors the market as home to major corporate headquarters and a dense fintech and logistics technology ecosystem, while Alpharetta and Marietta draw openings from the large enterprise technology campuses and financial services firms concentrated along the GA-400 corridor north of the city.
Are there remote ai data engineer jobs in Georgia?
Yes, and more than most fields. About 92% of ai data engineer openings tied to Georgia are remote or hybrid as of September 2026, reflecting how naturally this work fits a distributed model. Pipeline development, model training, and data architecture tasks are especially common in fully remote roles, while positions involving embedded work with on-site data teams or regulated healthcare data tend to require at least a hybrid schedule.
How can I get hired as a ai data engineer in Georgia with little or no experience?
The most realistic entry path is through a data or analytics engineering associate role, which large Georgia employers in fintech, healthcare IT, and logistics regularly post for candidates with strong foundational skills but limited production experience. Companies like Cox Enterprises and major Atlanta hospital systems such as Emory Healthcare run technology rotational and new-grad programs worth targeting. Building a public portfolio of end-to-end pipeline projects on cloud platforms, earning the Google Professional Data Engineer credential, and applying for data analyst or junior data engineer roles as stepping stones are the moves that open doors fastest in this market.
Where can I find and apply to ai data engineer jobs in Georgia?
You can find and apply to ai data engineer jobs in Georgia on Migrate Mate, which lists current openings from Georgia employers. Find the roles that fit your experience and location and apply directly.
See All 36 AI Data Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs