AI Engineer
At a glance
Mid-level AI Engineering role at Tsys. Alpharetta · full-time · no salary stated · we estimate $132,450–$205,151 across the United States.
Tsys has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch ML, deep learning and generative AI models to address business problems
- Create scalable machine learning pipelines and agent workflows, then maintain them in production
- Turn business needs into AI solutions with data scientists, product managers and engineers
- Improve generative model results through retrieval, prompt design, fine-tuning and related methods
- Operate model lifecycle practices, including deployment, monitoring, version control and retraining
What you bring
- At least four years building AI or machine learning systems, with solid grounding in ML and deep learning
- A bachelor’s or master’s degree in computer science, engineering or a related discipline
- Strong Python skills and experience with TensorFlow, PyTorch and Transformers
- Practical Google Cloud development experience and a record of deploying production AI systems at scale
- Experience with generative models, agent-based AI, NLP and LLM applications
Who this fits
This mid-level role suits a hands-on AI engineer who builds and deploys models in cloud environments and works across technical teams. The position is hybrid in Alpharetta, and applicants must already be authorized to work in the U.S. without employment-based visa sponsorship.
From the employer
Job Description
Ready to take your career global?
Make your mark at one of the biggest names in payments. We are seeking a highly skilled and forward-thinking AI Engineer to join our AI Engineering team. This role is ideal for a hands-on technologist with deep expertise in machine learning (ML) and deep learning (DL), and a strong working knowledge of Generative AI technologies. You will design, build, and optimize intelligent systems that power automation, personalization, and decision-making across our FinTech platforms. This is a unique opportunity to work at the intersection of cutting-edge AI research and real-world enterprise applications.
What you’ll own
- Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems and deliver measurable value.
- Build and maintain scalable ML pipelines and agentic workflows using modern frameworks and cloud-native tools.
- Collaborate with data scientists, product managers, and engineers to translate business requirements into AI-powered solutions.
- Implement and optimize AI solutions using platforms such as GCP Vertex AI, AWS Bedrock/SageMaker, and Snowflake Cortex.
- Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance.
- Develop and deploy autonomous AI agents using frameworks like LangChain, LangGraph, and AgentSpace.
- Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and memory in generative systems.
- Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models.
- Stay current with AI research and industry trends, and evaluate emerging tools and techniques for enterprise adoption.
- Contribute to internal knowledge sharing, documentation, and best practices for responsible and ethical AI development.
What you’ll bring
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in AI/ML engineering, with a strong foundation in ML/DL algorithms and systems.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and Transformers.
- Hands-on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.
- Experience with NLP, conversational AI, and LLM-based applications.
- Familiarity with vector search and semantic retrieval technologies.
- Strong understanding of MLOps, including model deployment, monitoring, and retraining.
- Experience building production-grade AI systems at scale in cloud environments.
- Hands-on experience with development on Google Cloud Platform.
- Excellent problem-solving, communication, and collaboration skills.
It’s a bonus if you have
- Experience with prompt engineering, RLHF, and LLM evaluation techniques.
- Understanding of AI governance, safety, and responsible AI principles.
- Familiarity with reinforcement learning, multi-agent systems, and autonomous workflows.
- Experience with big data technologies (e.g., Apache Spark, Kafka) and real-time data processing.
- Experience with data engineering techniques and data warehousing platforms (e.g. BigQuery, Snowflake).
- Contributions to open-source AI projects or publications in the AI/ML field.Familiarity with CI/CD pipelines, infrastructure-as-code, and cloud-native AI tooling.
- Ability to work proactively with a high level of initiative and accuracy.
- Ability to manage multiple assignments effectively and meet established deadlines.
- Strong interpersonal skills to interact professionally with staff and stakeholders.
- Excellent organizational skills and attention to detail.
- Critical thinking ability ranging from moderately to highly complex tasks.
- Flexibility in adapting to changing business needs and priorities.
- Ability to work creatively and independently with minimal supervision.
- Ability to utilize experience and judgment in accomplishing goals.
- Experience in navigating organizational structures and collaborating across teams.
About the team
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global. https://jobs.globalpayments.com/en/why-global-payments/benefits/
Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; We will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Diversity and EEO Statements
Global Payments is an organization that stands against racism, intolerance and injustice in all its forms — one that respects, honors and celebrates the diversity of our team members and the differences among us. Our commitment to fostering a company culture that values and respects Inclusion and Diversity is steadfast. Standing together as one company, we will continue to work to drive positive change for the communities in which we live and work and stamp out injustice.
linkedin.com/in/shonali-r-66744622 -SB
EEOC Statement
Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
Washington Candidates: Click here for information on the Fair Chance Act.