About the role
What you’ll do (Role Expectations)
- Architect, build, and own the production-grade AI Platform supporting multiple Finance modules, executive dashboards, and interactive workflows
- Implement enterprise-grade security, Okta SSO, RBAC mapping, and clean backend API service boundaries for seamless extensibility
- Manage governed data-serving pipelines, schema design, and caching strategies (API query and semantic caching) to ensure high performance and data fallback reliability
- Integrate AI assistants via internal LLM gateways and build modular skills & services grounded in Finance context
- Drive CI/CD release automation via GitLab pipelines while maintaining end-to-end production operations, monitoring, incident response, and system reliability
- You are a pragmatic builder with a passion for creating, iterating, and shipping scalable tools that deliver immediate value to users.
- You are driven by technical innovation and energized by leveraging modern AI technologies to solve complex platform challenges.
- You are an active problem-solver who enjoys navigating complex data environments to build reliable, high-impact solutions.
- You act like an owner by balancing strategic architectural vision with hands-on technical execution.
- You are a high-trust collaborator who builds strong cross-functional partnerships and communicates complex technical concepts with clarity.
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
- 5–8 years building and operating production systems across data, backend, and platform engineering
- Strong Python (FastAPI/services, pipelines) and SQL (Snowflake/PostgreSQL) expertise
- Strong AWS fundamentals (VPC/IAM/EC2, security basics) and experience with CI/CD deployment pipelines
- Experience with authentication and SSO patterns
- Experience with containerization (Docker) and modern deployment practices
- Hands-on experience with LLM integrations, including OpenAI-compatible APIs, RAG architectures, semantic caching, and prompt/context management
- Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Expertise with Snowflake and dbt modeling, standards, testing, CI/CD, Redis caching patterns, and observability best practices
- Proven track record building internal data applications with React or Streamlit