Head of AI Garage, Wealth & Investment Management Engineering
Tasks
- Accelerate and scale GenAI solutions
- Build and lead AI Garage
- Build vector retrieval infrastructure for RAG
- Create use case pipeline aligned to business objectives
- Deliver LLMOps capabilities including experiment tracking registries evaluations safety filters and prompt version management
- Design and operate semantic data and knowledge graph capabilities
- Develop semantic data foundations and reusable GenAI platforms
- Ensure scalability observability disaster recovery and governance alignment
- Establish enterprise data readiness for AI
- Implement RAG pipelines re rankers and citation grounding
- Implement data quality lineage provenance privacy classification data contracts
- Implement feature stores prompt context catalogs and instrumentation
- Integrate GenAI securely with enterprise systems
Perks/Benefits
Skills/Tech-stack
API Design | Access Control | Apache Flink | Apache Spark | CI/CD | Data Contracts | Data Governance | Data Lineage | Data Privacy | Data Quality | Disaster Recovery | Encryption | Experiment tracking | Faiss | Feature Stores | Generative AI | Graph Databases | GraphDB | Java | Knowledge graphs | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | Model Evaluation | Neo4j | NoSQL | OWL | Observability | OpenAI | OpenSearch | PGVector | PII handling | Pinecone | Prompt engineering | Prompt versioning | Python | RDF | Retrieval-Augmented Generation | SQL | Safety filters | Scala | Secret management | Semantic data | Shacl | Vector Databases | Vector embeddings | Weaviate
Education
N/A
Regions
Countries
States
Cities
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