AIML Engineer III – Treasury and Lending Platforms

FIS Global • Jacksonville, FL

38d

About The Position

FIS Management Services, LLC seeks AIML Engineer III – Treasury and Lending Platforms in Jacksonville, FL to leverage a broad stack of Open Source and SaaS AI technologies such as Azure OpenAI, VectorDBs, RAG, RLHF, and more to build scalable AI solutions for financial workflows including cash flow forecasting, treasury operations, liquidity optimization and regulatory compliance. Design, implement, and maintain cloud-native infrastructure using AWS, Azure, or GCP, with a focus on container orchestration (EKS/ECS, GKE), infrastructure-as-code (Terraform, CloudFormation), and support for GPU/accelerated workloads. Architect and optimize advanced MLOps pipelines on Azure, automating data ingestion, distributed GPU model training, versioning, CI/CD validation, AKS deployment, and monitoring to deliver secure, compliant, and scalable AI solutions for complex financial workflows. Conduct original research on emerging AI techniques such as meta-learning and federated learning, while evaluating and comparing commercial and open-source LLMs (e.g., OpenAI, Anthropic, Mistral, Meta Llama) for performance, cost-efficiency, alignment, and reliability to inform scalable and cutting-edge AI system design. Lead performance optimization of large-scale AI models by applying techniques such as model quantization, pruning, and mixed-precision training on distributed GPU clusters to reduce inference latency in real-time financial systems. Build and deploy advanced Machine learning and statistical algorithms for financial risk forecasting and anomaly detection on high dimensional, multivariate time-series data. Integrate domain knowledge and ensure model interpretability and compliance. Write clear, maintainable code, conduct code reviews, and mentor junior teammates. Evangelize automated testing, code linting, and performance monitoring.

Requirements

• Bachelor’s degree or foreign equivalent in Statistics, Mathematics, Computer Science or related field and six (6) years of progressively responsible experience in the job offered or a related occupation: working with Machine Learning (ML) engineering, analytics, or data engineering
• developing advanced Machine Learning solutions including applying AI/ML techniques in financial services or highly sensitive confidential data regulated industries
• integrating commercial LLM (Large Language Models) APIs including OpenAI, Anthropic or Cohere into software applications, enabling intelligent agents, summarization, and question answering capabilities
• working in financial services and fintech domain including operational efficiency, reporting automation, financial data intelligence, and workflow optimization
• working with any combination of tools including Python, PyTorch, TensorFlow/Keras DL stacks, Hugging Face Transformers, LangChain, fine-tuning, and RLHF modern Gen-AI tooling
• performing AI model evaluation, prompt engineering, and Retrieval-Augmented Generation (RAG) techniques
• In the alternative, the employer will accept a Master’s degree in the above listed fields and four (4) years of experience in the above listed skills.
• Telecommuting and/or working from home may be permissible pursuant to company policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level