# Senior Consultant Specialist

**Company**: HSBC
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774611504191?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4ad1319c-ee4

## Description

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.

Principal responsibilities:

- Own end-to-end delivery of AI-enabled applications, from initial discovery and solution scoping through prototype, production implementation, deployment, and adoption support.

- Partner with business stakeholders to understand operational workflows, pain points, acceptance criteria, and measurable success outcomes.

- Translate business requirements into practical AI / automation workflows, including LLM-powered features, RAG-based knowledge solutions, agentic workflows, APIs, and user-facing tools where appropriate.

- Build production-grade software using technologies such as Python, JavaScript / TypeScript, backend services, APIs, databases, and modern web or integration frameworks.

- Integrate AI / ML capabilities into enterprise applications, including prompt orchestration, retrieval pipelines, model APIs, evaluation logic, monitoring, and guardrails.

- Collaborate with product managers, AI researchers, data scientists, platform engineers, cyber security, risk, compliance, and operations teams to ensure solutions are fit for enterprise deployment.

- Design for reliability, maintainability, scalability, security, auditability, and responsible AI use in a regulated banking environment.

- Support deployment activities including CI/CD, environment configuration, observability, performance tuning, incident troubleshooting, and production readiness reviews.

- Gather feedback from real users and production telemetry to iterate on solution quality, model behavior, workflow usability, and business value.

- Act as a technical thought partner to business teams, helping them understand AI capabilities, limitations, trade-offs, and responsible adoption patterns.

Requirements:

- Bachelor’s degree or above in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Software Engineering, or a related technical discipline, or equivalent practical experience.

- Around 5+ years of hands-on experience in AI engineering, LLM application engineering, machine learning engineering, data-intensive software engineering, or full-stack engineering with meaningful AI delivery exposure.

- Strong practical understanding of modern AI / ML and LLM application architectures, including RAG, embeddings, prompt engineering, model APIs, AI workflow orchestration, evaluation, monitoring, and guardrails.

- Hands-on experience building AI-powered applications or platforms, such as enterprise search, document intelligence, chatbot / assistant solutions, Text-to-SQL, agentic workflows, knowledge management, or workflow automation.

- Strong programming capability in Python, with the ability to build reliable AI pipelines, backend services, integrations, evaluation scripts, and automation tools.

- Solid software engineering capability in at least one additional application development language or ecosystem such as JavaScript / TypeScript, Java, or similar, with experience building APIs, services, UI components, or enterprise integrations.

- Proven experience moving AI or data-driven solutions beyond proof of concept into production or production-like environments, including testing, CI/CD, logging, monitoring, deployment, support, and iterative improvement.

- Ability to reason about AI system quality and trade-offs, including accuracy, hallucination risk, latency, cost, retrieval quality, data privacy, security, observability, maintainability, and user experience.

- Strong problem-solving and stakeholder communication skills, with the ability to translate business workflows into AI solution designs and explain technical trade-offs to both engineers and non-technical users.

- Strong ownership mindset, hands-on delivery attitude, and willingness to debug code, inspect data, tune prompts / retrieval logic, integrate systems, and unblock production delivery issues directly.

## Skills

### Required
- Python
- JavaScript/TypeScript
- AI/ML
- LLM
- Data Science
- Software Engineering

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774611504191?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)