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Agentic AI Engineer II - Cyber Analytics - American Express
AI Engineer
Design and implement intelligent, secure AI solutions for information security and governance, leveraging Python, machine learning, and cloud services to protect data and detect threats.
About the role
Key Responsibilities
- Design, develop, and deploy AI/ML models that detect, classify, and respond to security threats across the enterprise.
- Collaborate with security analysts and governance teams to translate risk requirements into scalable AI solutions.
- Build data pipelines and feature stores on AWS to ingest, cleanse, and enrich security telemetry for model training.
- Implement model monitoring, bias detection, and continuous improvement processes to ensure reliability and compliance.
- Contribute to open‑source tools and internal libraries, fostering knowledge sharing within the engineering community.
Requirements
- 3+ years of professional experience building production‑grade machine learning systems, preferably in a security or fraud‑detection context.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, IAM) and container orchestration (Docker, Kubernetes).
- Solid understanding of cybersecurity concepts, threat modeling, and data privacy regulations.
- Demonstrated ability to work cross‑functionally, communicate complex technical ideas, and deliver robust, maintainable code.
Skills
pythonmachine learningdeep learningaws