Overview
We are seeking experienced AI Engineers for hybrid roles in a Tier-1 global financial institution. The positions focus on delivering commercial AI solutions that move projects into live production. Consultants will closely collaborate with business stakeholders to design, build, and integrate AI systems that support critical trading decisions and other initiatives within a highly regulated banking environment.
Responsibilities
- Lead the technical design and delivery of AI solutions, ensuring they align with business needs.
- Collaborate with stakeholders to define requirements and make architectural decisions.
- Develop, integrate, and deploy high-quality AI solutions in production.
- Navigate the model-risk validation and enterprise governance processes for approval.
- Build data pipelines, implement and evaluate machine learning models, and produce supporting documentation.
- Utilize AI tools to enhance engineering processes and ensure projects are delivered on time.
- Monitor and evaluate AI system performance and compliance with regulatory standards.
Requirements
- 10+ years of experience in commercial engineering or data science, with a strong focus on AI/ML systems deployed in production for the Principal Consultant role.
- 5+ years of experience handling AI/ML solutions in production for the Senior Consultant role.
- Strong proficiency in Python, alongside practical experience in machine learning, feature engineering, and model evaluation.
- Proven experience with LLMs, agentic frameworks, and AI evaluation tools.
- Demonstrated success in navigating enterprise governance, model risk, and compliance processes.
- Familiarity with financial services, capital markets, and regulatory obligations.
- Experience with data engineering, pipelines, and production readiness requirements.
- Hands-on skills with modern AI development frameworks and tools, as well as understanding of CI/CD practices.