Consultant Specialist

Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Business: GPS Technology Job ID: 65692 Principal responsibilities: Taking part in optimization of the AI Agent to improve performance, scalability, resilience and cost efficiency, enabling Generative and Agentic AI use cases across GPS. Taking part in the evaluation and adoption of AI and ML technologies for GPS, with a focus on LLM, agentic AI, RAG, knowledge management, and emerging engineering patterns. Embed AI-native capabilities into engineering workflows, such as AI coding, technical solution generation, test case generation, test report generation, and automated environment setup/orchestration. Taking part in architecture design and core capability development for AI Agent Applications, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Runtime governance & operational framework, Establish AI agent runtime and governance frameworks, including Isolation and sandboxing, access control and permission, Auditability and traceability Evaluation and quality measurement. Knowledge augmentation layer design: integrate, and apply enterprise knowledge enhancement capabilities, including RAG (Retrieval-Augmented Generation), GraphRAG, Knowledge graphs (design, integration, and application) Partner across business lines and infrastructure team to align priorities, integrate

and unblock delivery across regions and time zones Knowledge & Experience/Qualifications: Bachelor’s or Master’s degree in computer science, Software Engineering, or a related discipline. 8+ of experience delivering enterprise software/platform solutions including 3+ years in senior engineering leadership roles, especially 2+ years in Agentic AI development. System thinking: Strong ability to design and evolve complex systems with a focus on scalability, maintainability, and performance. Proficient in Python with strong coding fundamentals and architectural judgment; hands-on experience delivering complex systems. The candidate must have strong coding skills in Numpy, Panas, NLU, NLP and machine learning algorithms. Deep understanding of LLMs and agent architectures, including:Task decomposition & planning Tool use / function calling patterns Context and session management Memory design Execution loops and exception handling Practical experience with LangChain and/or LangGraph (or equivalent orchestration frameworks). Familiarity with mainstream AI coding and developer tools (examples: Claude Code, Codex, Cursor, Copilot or equivalence). Hands-on experience designing and implementing enterprise RAG, GraphRAG, or knowledge graph solutions for real application scenarios. Proven track record designing, building, and operating large-scale, low-latency, highly available, resilient platforms and shared services (API gateway/service gateway experience strongly preferred) Experience building secure-by-design platforms in regulated environments, with strong understanding of non-functional requirements (security, resilience, data protection, auditability) Strong knowledge of AI capabilities and their applications in financial services, including working knowledge of Generative AI/LLM platform patterns (model access, prompt/tooling services, guardrails, evaluation/monitoring) and how to enabler safe consumption at scale. Proven ability to build, lead, and develop high-performing global teams spanning AI SMEs and full stack engineers across multiple regions and time zones. Strong stakeholder management skills, able to align business lines, infrastructure and control functions; clearly articulate AI capabilities and influence senior technology and business leaders. Experience working in Agile delivery models with strong collaboration and execution discipline. What additional skills will be good to have? Experience with the following technologies (Hadoop, Spark, YARN, Kafka, Hive, HBase, MapReduce, RESTful services, Nosql database such as Mongo) would be an advantage. Team player and experience working in global teams with members in different locations. Aptitude to independently learn new technologies. Strong interpersonal and presentation skills with good command of written and spoken English Strong interpersonal skills, with the capacity to foster partnership among project participants and collaborate with them to ensure successful project delivery Job Board Tags: /WX /51 /LP You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role. 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*** HSBC China currently utilizes AJINGA, a third party recruitment management system, to process job applications. Please watch out for emails, SMS, and/or WeChat messages from AJINGA. Note that AJINGA will only send notices from the following email, and will not ask you to provide any personal data by responding to the message directly. · E-mail: hsbcrecruiting@mail.ajinga.com