Own end-to-end architecture from data assets to AI-driven user experience, ensuring coherent contracts and verifiable paths across all layers

Design, implement and maintain dual-graph knowledge systems, financial DSLs and agent orchestration gateways

Author and steward ADRs/RFCs for robust governance and traceability for all architectural decisions

Integrate cloud data platforms (Snowflake, AWS EKS) and enforce security, compliance and auditability standards

Deliver features iteratively with high test coverage and clear documentation for engineering and compliance stakeholders

Hands-on experience with Python (FastAPI, asyncio, pytest), monorepo discipline and data system design

Deep expertise in data architecture: ontology, taxonomy, modeling and data contracts

Proficiency in Neo4j knowledge graph design, Cypher and GraphRAG patterns

Experience with design and implementation of domain-specific languages (DSLs) and YAML/DSL pipelines

Strong background in AI agent orchestration, responsible AI governance and cloud integration (Snowflake, AWS, Helm, ArgoCD)

Experience with productization of AI advisors for regulated finance, including compliance demos, audit chains and human-in-the-loop design

Familiarity with formal methods (Alloy, TLA+), advanced modeling languages (RDF/SHACL, SKOS) and voice/multimodal AI integration

Proven track record in migration of prototypes to production, deprecation of legacy systems and architecture governance for multi-service platforms

Strong skills in observability (OTEL, Grafana), CI/CD automation and authorship of scalable agent skills or process automation

Expertise in compliance frameworks, regulatory traceability and advanced information architecture for documentation