Principal Applied AI Engineer, Finance
Core
Lead the design and delivery of next-generation AI and predictive models that transform financial decision-making at scale, focusing on agentic AI, generative systems, and production-grade AI infrastructure.
Role type
Principal Applied AI Engineer (Finance)
Builds
Agentic AI systems, multi-agent frameworks, predictive models for forecasting and attrition, and scalable AI/ML services integrated into enterprise workflows.
Domain
Finance / Enterprise AI / Agentic AI / Predictive Modeling
Deliverable
production ML models | product features | infrastructure
Required skills
Agentic AI architecture, LLM orchestration (RAG, tool-use), time series forecasting, Python, MLOps, cloud platforms (AWS), software engineering (APIs, CI/CD, containerization), financial data modeling.
Preferred skills
Multi-agent orchestration, vector databases, responsible AI practices, mentoring technical teams.
Technologies
LLMs, RAG, vector databases, Docker, Kubernetes, AWS, Python, CI/CD pipelines.
Responsibilities
Architect agentic AI systems for finance workflows; design and implement predictive models for customer behavior; build scalable AI/ML systems with software engineering best practices; establish MLOps best practices and governance; lead cross-functional AI initiatives and mentor specialists.
Seniority
Principal, strategic technical leader & hands-on builder