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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Description
Director — Data, Cloud & AI Architecture
Private Equity Performance Improvement (PEPI) Technology, Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.
A&M's Private Equity Performance Improvement Services (PEPI) practice focuses on serving upper middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies ($50M–$1B+ revenue range).
Our PEPI services include:
- IT / Product / Engineering [Technology Services]
- CDD/Strategy
- Interim Management
- Merger Integration & Carve-outs
- Rapid Results
- Supply Chain
- CFO Services
How you will contribute
A&M's PEPI Technology group advises private equity investors and their portfolio companies on the technology decisions that move enterprise value. This role covers data and cloud architecture, including AI and ML readiness and risk. Depending on the engagement, you'll own that workstream inside a broader technology assessment, or run a focused data, cloud, and AI engagement day to day under a Senior Director or Managing Director.
Data, cloud-based technology systems, and the risks and opportunities of AI are making this part of our practice grow quickly. The work is hands-on, diagnostic and on compressed timelines. We value operational experience highly. You will have significant exposure to the Private Equity industry, smart and accomplished colleagues across the company, and a nearly limitless variety of technical systems.
- Own the data, cloud, and AI architecture workstream — Define data requests, review architecture and infrastructure artifacts, and reach a supportable view inside a business transaction timeline. On focused engagements, you will run the work day-to-day: direct the team, manage the client working relationship, align with other practice areas in the firm, and deliver the final product.
- Assess the architecture to determine if these technical systems support the business strategy and investment thesis, its costs and any risks. This includes scalability, extensibility, stability, technical debt, security posture, run-rate cost and its trajectory.
- Evaluate data quality and AI readiness — Determine what data exists, how it is governed, whether it represents business and/or financial opportunity, and the overall use of AI within client technology organizations and their products.
- Translate findings into financial and strategic terms — Translate findings and your point of view into terms non-technologists can understand, especially financial terms such as EBITDA impact, capex versus opex, time to value, and execution risk.
- Shape the analytical standard — A&M has deep experience codifying how engagements run. This role will help shape how those playbooks are adapted for this rapidly emerging area of client interest. Once defined, it runs as a productized offering with deliberately limited flex.
- Work closely with A&M colleagues — Be a constructive partner with colleagues across the Technology Services organization and many performance improvement teams. You will help evangelize how this type of analysis answers critical questions and be a trusted steward of shared client relationships. A hands-on colleague from pitch through final delivery.
Qualifications
- 10+ years in hands-on technology roles with depth in cloud and data architecture. You've designed, built, and operated these systems, and can speak to specific decisions you made regarding tradeoffs, investment, and stakeholder management.
- Education undergraduate degree in computer science, information systems, engineering, or a related technical field strongly preferred; MBA or advanced degree preferred
- Ability to reach a defensible conclusion on incomplete information under time pressure and defend it to executives with high standards for quality. Consulting experience preferred, not required.
- Direct experience with technical due diligence, especially exposure to pre-transaction analysis (buy or sell-side), post-merger integration, or the PE ecosystem.
- Experience designing, building, and leading enterprise-scale cloud data platform and modern data architecture initiatives, from discovery through delivery.
- Strong communicator who builds credibility quickly with internal relationships. Your default is to be a trusted partner to other A&M teams as much as to clients.
- Comfort executing a standardized methodology, and willingness to help shape it.
- AI/ML platform experience a plus: production model deployment, feature and data pipelines, or AI readiness assessment.
- Willingness to travel as engagements require.
- Experience working with private equity firms or PE-backed portfolio companies, with understanding of deal timelines, value creation plans, and exit preparation
Compensation: $150,000 – $225,000 base salary annually, dependent on education, experience, skills, and geography, plus a discretionary bonus program based on individual and firm performance. Please ask your recruiter for details.
Your Journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M.
Benefits Summary
Regular employees working 30 or more hours per week are entitled to participate in Alvarez & Marsal Holdings' fringe benefits: healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages, a 401(k) retirement savings plan with discretionary employer contribution, paid vacation, personal days, 72 hours sick time, 10 federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
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See All 40 AI Data Engineer Jobs in Georgia
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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
- Consulting & Professional Services
- Manufacturing
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 Thought Logic Consulting, Logic, and McKinsey & Company, based on current listings on Migrate Mate as of November 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, Alpharetta, and Georgia 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 100% of ai data engineer openings tied to Georgia are remote or hybrid as of November 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.
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