Description

Required Skills

• Years of Experience Required? 6-10
• Previous Financial Experience
• Applied AI/ML & GenAI experience: building with LLMs, RAG pipelines, prompt engineering, and agentic frameworks
• API & systems integration: should have an understanding of connecting AI solutions to enterprise systems, data sources, and existing services
• Cloud & deployment: should have an understanding of cloud platforms (Azure/AWS/GCP), containerization (Docker/Kubernetes), and CI/CD
• Data engineering basics: SQL, data pipelines, and working with structured/unstructured data
• Customer-facing & consultative skills: able to sit with stakeholders, scope problems, and iterate quickly on solutions
• Rapid prototyping & problem-solving: comfortable with ambiguity, fast iteration, and getting from idea to working demo
• Strong communication: translating between technical and business audiences
• Security & compliance awareness: building responsibly within a regulated financial-services environment

Key Skills

Education

Bachelor's degree