onsite
Senior AI Engineer - Agentic AI & Automation - Barclays
AI Engineer
Lead the design and deployment of agentic AI solutions that integrate models, data, and workflows to enhance banking operations, leveraging Python, ML, AWS, and advanced NLP techniques.
About the role
Key Responsibilities
- Architect and implement agentic AI systems that connect models, data pipelines, APIs, and user interfaces to deliver scalable, secure banking applications.
- Collaborate with data scientists, product owners, and engineering teams to translate business requirements into robust ML solutions.
- Design and maintain end‑to‑end ML pipelines on AWS, ensuring high availability, performance, and compliance with regulatory standards.
- Integrate advanced NLP models for natural language understanding and generation within customer-facing and internal tools.
- Lead code reviews, performance tuning, and continuous improvement of AI services, adopting best practices in DevOps and MLOps.
Requirements
- 10+ years of experience in AI/ML engineering with a strong focus on production‑grade deployments.
- Proficiency in Python, AWS services (SageMaker, Lambda, ECS), and container orchestration (EKS, Docker).
- Deep knowledge of NLP techniques, transformer models, and experience fine‑tuning large language models.
- Hands‑on experience building and scaling data pipelines, API gateways, and workflow orchestration.
- Excellent communication skills and a proven ability to mentor junior engineers and collaborate across multidisciplinary teams.
Skills
pythonmachine learningawsnlp