Data Analyst
UKG · Remote / flexible (United States) · Mid Level · Data, analytics and AI · posted 2 days ago
UKG · Alpharetta, GA · posted 53 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | UKG |
|---|---|
| Location | Alpharetta, Georgia |
| Field | Technology › Data, analytics and AI |
| Level | Senior Level |
| Source category | Data and Analytics |
| Posted | 2026-09-17 (53 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
UKG is unable to offer sponsorship for this position.
About the Role:
We are searching for an exceptionally skilled and visionary Principal Software Engineer with deep expertise in building, deploying, and scaling generative AI applications. As a key individual contributor at the Principal level, you will drive the architecture, strategy, and development of groundbreaking AI technologies that support our long-term mission.
The Principal Software Engineer, AI/ML will lead the technical vision, strategy, and architectural direction for our GenAI initiatives. As a recognized thought leader, you will help guide the company to stay at the forefront of AI innovation, continuously integrating the latest advancements in generative AI into our products and processes. This role demands a blend of technical depth, visionary thinking, and the ability to influence and elevate company-wide AI practices. You will play a pivotal role in shaping a transformative journey, empowering our organization to harness GenAI in profound ways across all products.
Responsibilities:
• Architectural Vision & Strategy: Define and drive the generative AI architecture strategy, ensuring UKG remains at the leading edge of AI innovation. Develop and communicate a cohesive architectural vision that aligns with business goals, enabling the seamless integration of GenAI capabilities across our product suite.
• Technical Leadership: Serve as the primary technical visionary for generative AI, providing hands-on guidance in advanced methods (e.g., transformer models, diffusion models, GANs) and setting technical standards that ensure scalability, security, and efficiency.
• Cross-Functional Collaboration: Work closely with executive leadership, product management, data science, and engineering teams to establish and prioritize GenAI initiatives. Collaborate with cross-functional teams to ensure alignment on requirements and objectives, driving the infusion of AI capabilities across products.
• Innovation & Research: Conduct hands-on, advanced research in generative AI, staying current with emerging technologies, industry trends, and best practices. Lead the exploration and implementation of state-of-the-art GenAI techniques to enhance product value and drive a competitive edge.
• Mentorship & Culture Building: Mentor and influence senior engineering leaders, fostering a culture of AI excellence, thought leadership, and continuous innovation. Champion best practices in AI/ML development, MLOps, CI/CD processes, and quality assurance to ensure high standards across the organization.
• Community Engagement: Act as an ambassador for generative AI internally and externally, representing UKG in the AI community through publications, speaking engagements, and industry forums.
• Scalable Solutions: Oversee the deployment of large-scale AI models, ensuring they are optimized for performance, cost, and resource efficiency in production environments. Establish guidelines for high-quality, production-ready AI/ML systems that can scale with business needs.
• Governance & Standards: Define and enforce development methodologies, CI/CD standards, and architectural guidelines for AI solutions. Maintain documentation of architectural decisions and technical roadmaps, ensuring a sustainable foundation for future AI-driven capabilities.
Qualifications:
• Educational Background: MS or PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.
• Experience: 12+ years in software development and AI, with at least 5 years of hands-on experience in generative AI, NLP, or related fields. Proven expertise in architecting and deploying large-scale AI/ML systems in production environments.
• Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and MLOps practices for large-scale model training and deployment.
• AI Methodologies: In-depth knowledge of generative AI methodologies, including transformer models, diffusion models, GANs, large language models, and multi-modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic regression, decision trees, and clustering methods.
• Industry Influence: Recognized thought leader in AI, with a record of publications in top-tier AI conferences/journals (e.g., NeurIPS, ICML, CVPR) and a strong network within the AI research community.
• Problem-Solving & Strategy: Exceptional problem-solving skills and a proven ability to influence and implement long-term AI-driven strategic initiatives.
Preferred Qualifications:
• Compliance & Responsible AI: Experience working in high-compliance environments or with privacy-preserving AI techniques. Strong familiarity with trends in responsible AI, model interpretability, and ethical AI practices.
• Optimization Expertise: Proven record of optimizing AI models for cost-efficiency at scale through model compression, distillation, and efficient deployment strategies.
• Cloud & DevOps Knowledge: Strong experience with cloud-native architectures, containerization (e.g., Kubernetes), and CI/CD pipeline automation (e.g., Terraform, GitHub Actions).
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
UKG is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $163,900.00 to $235,550USD. There is a different range applicable to the Seattle WA area. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits
Field: Technology Sub-niche: Data, analytics and AI All jobs at UKG Jobs in Georgia Jobs in Alpharetta, GA Alpharetta city guide Georgia state guide Fulton County economy
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This is a Senior Level role in the Technology field (Data, analytics and AI) at UKG. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in Alpharetta, GA. Below is what the official statistics say about living and working there.
How Alpharetta compares. Among the 100 largest places in Georgia, Alpharetta is #14 by population, #3 for household income (#1 = highest), #4 for remote work (#1 = most), #95 for rent (#1 = cheapest). Its county, Fulton County, is #1 of 159 counties for average pay ($100,817).
Alpharetta has 66,855 residents (ACS 2020–2024), about 0.6% of the population of Georgia. It covers 27 square miles of land, which works out to roughly 2,485 people per square mile. The median age is 41.3, 10% older than the state median (41.3 against 37.6).
The median gross rent is $1,948 a month (rent plus utilities), 40% above the state median ($1,948 against $1,393). Over a year that is 15.8% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $649,000, which is 4.4 times the median household income ($147,612). 65.1% of households own their home, about the same as the state average (65.1% against 65.7%).
The Atlanta-Sandy Springs-Roswell, GA metropolitan area has 2,889,670 jobs in the BLS wage survey, and the median pay across all occupations is $51,170 a year, about the same as the national median ($51,170 against $50,980). The biggest occupation groups are office and administrative support (328,500 jobs, median $47,040); transportation and material moving (313,910 jobs, median $44,120); sales and related (277,630 jobs, median $37,550). The area is most specialised in business and financial operations (1.3 times) and legal (1.3 times), where the share of workers is above the national share. The best-paying groups with at least 5,000 jobs are management ($130,550) and computer and mathematical ($110,010). In 2026M09 the unemployment rate of Fulton County was 3.6%. 71.1% of residents aged 16 and over are in the labour force. The city lies in Fulton County; its jobs, pay by industry and GDP are on the county page.
Among workers, 54.5% drive alone, 0.5% use public transit, 1.8% walk, 36.7% work from home. 18.7% of workers commute 45 minutes or more, 6% below the state average (18.7% against 19.8%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
70.7% of adults aged 25 and over hold a bachelor's degree or higher, 102% above the state share (70.7% against 35.0%). 27.8% of residents were born outside the United States, 149% above the state share (27.8% against 11.2%). The poverty rate is 5.6%, 58% below the state rate (5.6% against 13.4%).
The warmest month is Jul, averaging 80°F (26.5°C), and the coolest is Jan at 40°F (4.7°C). About 1,292 mm (51 inches) of precipitation falls in a year; Dec is the wettest month (133 mm) and Oct the driest (88 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Johns Creek (5 miles, rent 16% higher); Roswell (5 miles, rent 7% lower); Milton (6 miles, rent 6% higher); Peachtree Corners (8 miles, rent 13% lower). Rent differences are against Alpharetta; use the Compare tab to put any two cities side by side.
Full guide to Alpharetta →Georgia guideAll jobs in Alpharetta
These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.
Places within 50 miles (straight line) of Alpharetta, GA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| Alpharetta, GA | 0 mi | $1,948 | $649,000 | $147,612 | 18.7% | n/a | Jobs |
| Johns Creek, GA | 5 mi | $2,257 | $629,400 | $160,093 | 24.9% | n/a | — |
| Roswell, GA | 5 mi | $1,810 | $567,100 | $128,654 | 16.6% | n/a | — |
| Milton, GA | 6 mi | $2,065 | $789,000 | $171,295 | 22.0% | n/a | — |
| Peachtree Corners, GA | 8 mi | $1,701 | $484,700 | $82,139 | 14.1% | n/a | — |
| Duluth, GA | 8 mi | $1,828 | $400,800 | $95,331 | 21.9% | n/a | — |
| Dunwoody, GA | 9 mi | $1,859 | $602,900 | $121,903 | 12.8% | n/a | — |
| Norcross, GA | 10 mi | $1,715 | $403,400 | $75,266 | 15.3% | n/a | — |
| Sandy Springs, GA | 11 mi | $1,870 | $619,800 | $104,340 | 12.6% | n/a | — |
| Suwanee, GA | 12 mi | $1,885 | $480,600 | $103,260 | 23.4% | n/a | — |
| Chamblee, GA | 13 mi | $1,859 | $432,800 | $84,452 | 11.9% | n/a | — |
| Sugar Hill, GA | 14 mi | $1,862 | $413,400 | $107,389 | 26.7% | n/a | — |
| Holly Springs, GA | 14 mi | $1,850 | $448,400 | $113,992 | 30.5% | n/a | — |
| Woodstock, GA | 14 mi | $1,821 | $436,500 | $103,496 | 21.9% | n/a | — |
| Lilburn, GA | 15 mi | $1,778 | $329,700 | $63,581 | 24.2% | n/a | — |
| Brookhaven, GA | 15 mi | $1,882 | $692,700 | $117,663 | 10.3% | n/a | — |
| Tucker, GA | 16 mi | $1,647 | $384,500 | $80,317 | 20.2% | n/a | — |
| Buford, GA | 17 mi | $1,357 | $368,700 | $69,471 | 23.8% | n/a | — |
| Canton, GA | 17 mi | $1,680 | $407,800 | $80,091 | 22.1% | n/a | — |
| Marietta, GA | 17 mi | $1,586 | $448,500 | $72,725 | 17.9% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)
How far Alpharetta, GA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| Charlotte, NC | 211 mi | 903,844 |
| Jacksonville, FL | 300 mi | 977,670 |
| Indianapolis, IN | 408 mi | 885,860 |
| Columbus, OH | 415 mi | 914,802 |
| Chicago, IL | 568 mi | 2,711,226 |
| Philadelphia, PA | 649 mi | 1,579,706 |
| Houston, TX | 715 mi | 2,328,253 |
| Dallas, TX | 725 mi | 1,307,930 |
| New York, NY | 727 mi | 8,483,844 |
| Oklahoma City, OK | 757 mi | 697,125 |
| Fort Worth, TX | 759 mi | 963,194 |
| Austin, TX | 830 mi | 979,539 |
| San Antonio, TX | 895 mi | 1,479,835 |
| Denver, CO | 1,201 mi | 718,877 |
| Phoenix, AZ | 1,592 mi | 1,642,323 |
| San Diego, CA | 1,889 mi | 1,389,526 |
| Los Angeles, CA | 1,945 mi | 3,857,263 |
| San Jose, CA | 2,105 mi | 990,138 |
| San Francisco, CA | 2,169 mi | 830,235 |
| Seattle, WA | 2,171 mi | 754,195 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Atlanta, GA | 23 mi | 930 |
| College Park, GA | 32 mi | 5 |
| Chattanooga, TN | 88 mi | 5 |
UKG is the employer in this listing. See all its open jobs here →
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A senior level role in technology (data, analytics and ai) listed 53 days ago. The full description is on this page and on The Muse.
Alpharetta, GA.
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The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Alpharetta is $1,948 a month and median household income $147,612 (ACS 2020–2024).
It was posted on 2026-09-17 (53 days ago). Jobs older than 90 days are not shown.
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