FinTech AI Engineer: Generative AI, MLOps & Deployments

Total System Services; Alpharetta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Total System Services is seeking an AI Engineer to design, build, and optimize ML/DL and Generative AI models powering automation, personalization, and decision-making across our FinTech platforms.

You will collaborate with data scientists, product managers, and engineers to deploy scalable pipelines, integrate vector stores, and implement MLOps, RLHF, and retrieval-augmented workflows in cloud environments such as GCP Vertex AI and SageMaker. Strong Python and ML library skills are required.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• 4+ years in AI/ML engineering with strong ML/DL foundations.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Transformers).
• Hands-on with Generative AI models (GPT, Mistral, Claude) and agentic AI systems.
• Experience with NLP, conversational AI, and LLM-based applications.

Responsibilities

• Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems.
• Build and maintain scalable ML pipelines and agentic workflows in cloud environments.
• Collaborate with data scientists, product managers, and engineers to translate requirements into AI solutions.
• Implement AI solutions using platforms such as GCP Vertex AI, AWS Bedrock/SageMaker, Snowflake Cortex.
• Apply prompt engineering, RLHF, fine-tuning to enhance model performance.
• Develop and deploy autonomous AI agents using LangChain, LangGraph, and AgentSpace.
• Integrate vector databases (e.g., PGVector) and LLM orchestration tools for retrieval/memory.
• Ensure robust MLOps: CI/CD, monitoring, versioning, lifecycle management.
• Stay current with AI research and contribute to governance and documentation.

Skills

ML/DL engineering

Python

TensorFlow

PyTorch

Transformers

Generative AI

NLP

Q&A retrieval

MLOps

Cloud platforms

LangChain

LangGraph

Agent frameworks

Vector databases

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

GCP Vertex AI

AWS Bedrock/SageMaker

Snowflake Cortex

LangChain

LangGraph

AgentSpace

PGVector

BigQuery

Job description

Total System Services is seeking an AI Engineer to design, build, and optimize ML/DL and Generative AI models powering automation, personalization, and decision-making across our FinTech platforms.

You will collaborate with data scientists, product managers, and engineers to deploy scalable pipelines, integrate vector stores, and implement MLOps, RLHF, and retrieval-augmented workflows in cloud environments such as GCP Vertex AI and SageMaker. Strong Python and ML library skills are required.