onsite
AI Engineer - GenAI & Agentic Systems - State Street
AI Engineer
Lead the design and deployment of Agentic AI solutions for AML transaction monitoring, leveraging Python, Machine Learning, NLP, and AWS to build scalable, compliant systems in an agile environment.
About the role
Key Responsibilities
- Design, develop, and deploy Agentic AI applications using Python and related frameworks to enhance AML transaction monitoring.
- Collaborate with cross‑functional technical and business teams to translate compliance requirements into robust AI solutions.
- Implement NLP and machine learning models, ensuring high accuracy and scalability on AWS infrastructure.
- Apply agile delivery practices, participating in sprint planning, stand‑ups, and retrospectives to continuously improve product quality.
- Integrate AI components with existing data pipelines and monitoring tools, maintaining data integrity and compliance standards.
Requirements
- Proven experience in Python development and machine learning model deployment.
- Strong knowledge of NLP techniques and experience with relevant libraries (e.g., spaCy, Hugging Face).
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, EC2) for AI/ML workloads.
- Familiarity with agile methodologies and collaborative development environments.
- Excellent problem‑solving skills and a passion for building compliant, high‑impact AI solutions.
Skills
pythonmachine learningawsnlp