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

As a Consultant Specialist, you will play a key role in the GPS Technology team, focusing on the optimisation of AI Agents to improve performance, scalability, resilience, and cost efficiency.

Principal Responsibilities:

• Take part in the optimisation of the AI Agent to improve performance, scalability, resilience, and cost efficiency, enabling Generative and Agentic AI use cases across GPS.
• Evaluate and adopt 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.
• Participate in architecture design and core capability development for AI Agent Applications, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
• Establish AI agent runtime and governance frameworks, including isolation and sandboxing, access control and permission, auditability, and traceability.
• Design and integrate enterprise knowledge enhancement capabilities, including RAG (Retrieval-Augmented Generation), GraphRAG, and knowledge graphs.
• Collaborate with business lines and infrastructure teams to align priorities, integrate requirements, 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+ years of experience delivering enterprise software/platform solutions, including 3+ years in senior engineering leadership roles, and 2+ years in Agentic AI development.
• Strong system thinking and 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.
• Strong coding skills in Numpy, Pandas, 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, and execution loops and exception handling.
• Practical experience with LangChain and/or LangGraph (or equivalent orchestration frameworks).
• Familiarity with mainstream AI coding and developer tools.
• 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.
• Experience building secure-by-design platforms in regulated environments, with strong understanding of non-functional requirements.
• Strong knowledge of AI capabilities and their applications in financial services.
• Proven ability to build, lead, and develop high-performing global teams.
• Strong stakeholder management skills, able to align business lines, infrastructure, and control functions.

What additional skills will be good to have?

• Experience with technologies such as Hadoop, Spark, YARN, Kafka, Hive, HBase, MapReduce, RESTful services, and NoSQL databases.
• 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.