Senior Consultant Specialist
Indexed description
We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.
Business:CTO
Principal Responsibilities
- Backend architecture & delivery for RAG (incl. Graph RAG & agentic search): Design and implement core RAG backend capabilities, including retrieval, re-ranking, context construction, prompt orchestration, response aggregation, Graph RAG patterns (entity/relation extraction, graph traversal, graph-grounded context assembly), and agentic search (multi-step query planning, iterative retrieval, tool/function calling).
- Build pipelines for multi-modal and multi-type data (documents, emails, wikis, images, tables, logs, structured sources), including extraction/OCR, chunking, enrichment, embedding, and incremental re-indexing with rollback.
- Retrieval, ranking & graph reasoning optimisation: Implement hybrid retrieval (BM25/vector/structured filters), multi-stage recall, reranking (cross-encoder/LLM), deduplication/diversity controls, and graph-based retrieval strategies to improve relevance, explainability, and traceability.
- Grounded, supported answer generation: Build generation workflows that produce grounded answers with explicit support (citations, quoted evidence snippets, and source metadata), including answer structuring, confidence/scoring signals, refusal/insufficient-evidence handling, and traceable “why this answer” outputs for auditability.
- Security & compliance: Implement access controls (RBAC/ABAC), data classification and masking, audit logging, encryption, and secrets management; ensure retrieval and generation flows meet bank-grade compliance requirements.
- Data governance & lineage: Enforce data ownership, classification, retention, and access policies; maintain metadata standards, lineage, and provenance (citations/attribution) to ensure outputs are grounded in approved sources.
- Quality evaluation & continuous improvement: Establish offline/online evaluation (groundedness, faithfulness, citation coverage, latency), enabling A/B testing and regression validation.
- Cross-team collaboration: Partner with AI Infra, data platforms, information security, and product teams to land RAG capabilities in multiple systems and continuously evolve the platform.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline.
- 5+ years of backend engineering experience; strong proficiency in at least one mainstream backend stack: Python (FastAPI) or Go.
- Solid understanding of core RAG components and patterns, including chunking, embeddings, hybrid search, reranking, context window management, citations/attribution, and evaluation.
- Hands-on experience with containerisation and cloud-native engineering (Docker, Kubernetes, CI/CD), with a proven track record of troubleshooting and performance tuning in production.
- Strong communication and collaboration skills, with the ability to deliver under multi-dimensional constraints (security, compliance, performance, and cost).
- Demonstrates an AI-native mindset, applying AI-driven approaches to improve productivity, quality, and decision-making.
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
***Issued By HSBC Software Development (GuangDong) Limited***
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