Sr. Associate Director, Software Engineering

. <p><strong>Some careers have more impact than others.</strong></p> <p>If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p> <p> </p> <p>We are currently seeking an experienced professional to join our team in the role of <strong>Sr. Associate Director, Software Engineering</strong><strong>.</strong></p> <p> </p> <p><strong>Business:</strong><strong> CTO Platforms</strong></p> <p><strong> </strong></p> <p><strong>Job ID</strong><strong>：</strong><strong>52426  </strong></p> <p><strong> </strong></p> <p><strong>Principal responsibilities</strong></p> <p>1.Lead technical engagement for onboarding and adoption</p> <ul> <li>Act as the primary technical point of contact for multiple use case teams adoption to the AI platform.</li> <li>Run discovery sessions to understand business objectives, data constraints, risk posture, and non-functional requirements (e.g., security, latency, availability).</li> </ul> <p>2. Provide platform capability advice and solution consultancy</p> <ul> <li>Recommend the best-fit AI platform capabilities (e.g., model development, LLM enablement, deployment patterns, monitoring) for each use case.</li> <li>Help teams choose the right capability and appropriate tooling aligned to platform standards.</li> </ul> <p>3. Accelerate delivery with reusable patterns</p> <ul> <li>Support teams to integrate with platform services (identity/access, data sources,model, observability) and troubleshoot onboarding blockers.</li> </ul> <p>4. Scale AI adoption across the bank</p> <ul> <li>Identify common friction points and feed them back into the platform roadmap with clear evidence and prioritised recommendations.</li> <li>Build communities of practice: knowledge sharing sessions, office hours, internal enablement materials, and practical examples that raise the bar across teams.</li> </ul> <p>5. Drive responsible and secure implementation</p> <ul> <li>Encourage sound engineering practices and responsible AI behaviours, ensuring solutions align with HSBC’s control expectations (e.g., security, model risk, data privacy).</li> <li>Partner with risk, security, and governance stakeholders to help use case teams navigate the required approvals efficiently.</li> </ul> <p>6. Measure and improve outcomes</p> <ul> <li>Track onboarding progress and adoption metrics (e.g., time-to-onboard, reuse of templates, deployment success rates) and continuously improve the engagement model.</li> </ul> <p> </p> <p><strong>Knowledge &amp; Experience/Qualifications</strong></p> <p>1. Bachelor’s/Master’s/PhD degree in Machine Learning, Natural Language Processing, Computer Science, Data Science, Statistics, or related fields.</p> <p>2. Strong technical breadth across AI engineering and platforms</p> <ul> <li>Experience with LLM enablement (prompting patterns, RAG, vector search, evaluation/guardrails) and productionising GenAI use cases.</li> <li>Experience working in large-scale, federated enterprises with shared platforms and diverse engineering standards.</li> <li>Practical knowledge of modern AI stacks (e.g., Python, APIs/microservices, containers; cloud or hybrid environments).</li> </ul> <p>3. Consultative engagement and stakeholder management</p> <ul> <li>Proven ability to work with multiple delivery teams in parallel, translate ambiguous requirements into actionable technical recommendations, and influence without formal authority.</li> <li>Strong communication skills—able to explain trade-offs clearly to engineers, product owners, and governance partners.</li> </ul> <p>4. Architecture and integration mindset</p> <ul> <li>Experience designing integration patterns with enterprise services (identity and access management, data platforms, logging/monitoring, secrets management).</li> <li>Ability to develop and socialise reference architectures and reusable implementation patterns.</li> </ul> <p>5. Delivery focus and problem solving</p> <ul> <li>Comfortable operating at pace: diagnosing onboarding issues, unblocking teams, and driving pragmatic solutions while maintaining standards.</li> <li>A continuous improvement approach—turning recurring issues into templates, documentation, and automation.</li> </ul> <p>6.Risk-aware engineering</p> <ul> <li>Awareness of key controls relevant to AI delivery in a regulated environment (security, privacy, resilience, model risk, auditability), and the discipline to build with these in mind..</li> </ul> <p><strong> </strong></p> <p><strong>/WX </strong><strong>/51</strong><strong> </strong><strong>/ZP /LP</strong></p> <p><strong> </strong></p> <p><strong>You’ll achieve more when you join HSBC. </strong></p> <p> </p> <p>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.”</p> <p> </p> <p>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.</p> <p> </p> <p style="text-align: center;">***Issued By HSBC Software Development (GuangDong) Limited***</p>