Build production AI/ML capabilities for agentic and LLM-based solutions in a hybrid role in Sunrise, FL.

Develop and deploy production AI/ML systems, including agentic AI solutions
Deliver LLM/RAG capabilities across prompting, orchestration, and retrieval workflows
Implement backend services, APIs, and supporting data pipelines for AI applications
Design and evaluate model performance using testing and monitoring practices
Apply strong cloud and distributed-systems engineering to scalable, cloud-native solutions
Translate business objectives into technical designs for real-world products
Work collaboratively in a fast-paced environment with ownership and accountability

5+ years of experience in software engineering, machine learning, or applied AI, including building production systems
Experience building agentic AI systems, including:
- Orchestration
- Tools
- Memory and state management
- Evaluation
Experience with RAG, vector databases, and the full LLM lifecycle:
- Prompting
- Fine-tuning
- Evaluation
- Monitoring
Strong Python skills, including building backend services, APIs, and data pipelines
Hands-on experience with LLMs, GenAI, or applied machine learning in real-world product settings
Experience with modern AI/ML frameworks such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn
Strong experience with Google Cloud Platform (GCP), including:
- BigQuery
- Composer (Airflow)
- DataProc
- Similar GCP services
Ability to design and deploy scalable cloud-native solutions using modern engineering practices
Good understanding of distributed systems, event-driven architecture, and large-scale data processing
Strong problem-solving skills and ability to turn business needs into technical solutions
Ability to work effectively in a fast-paced, collaborative environment with strong ownership and accountability

Experience with case management platforms and customer data systems
Experience in regulated industries such as financial services, with knowledge of compliance, governance, and secure AI deployment
Experience with distributed data technologies and container tools like Docker and Kubernetes
Familiarity with AI governance, model risk management, and responsible AI
Contributions to research, patents, or open-source projects in AI/ML or developer tools
Advanced degree in Computer Science, Machine Learning, AI, or related technical field
Employment eligibility to work with American Express in the United States (no visa sponsorship for these positions)

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through the Healthy Minds program
Career development and training opportunities

AI Engineer II

Job Description