{"id":4211734,"url":"https://alion.io/job/hsbc-sr-associate-director-software-engineering-specialist-3","title":"Sr. Associate Director, Software Engineering Specialist","company":{"id":19779,"name":"HSBC","domain":"hsbc.com","url":"https://alion.io/company/hsbc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":100,"open_postings":75,"ghost_share":0,"stale_share":0.053,"repost_share":0.067,"time_to_fill_p50_days":14,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-12T06:17:36Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T01:09:35Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Some careers have more impact than others.\nIf you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.\nWe are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Software Engineering Specialist.\nBusiness:IWPB Technology\nPrincipal responsibilities\nLead the architecture, design and delivery of enterprise-grade AI solutions, ensuring scalability, reliability, security and production readiness.\nDesign and develop complex AI agent systems, including agent orchestration, state management, tool integration, fault tolerance and workflow recovery.\nEstablish reusable AI engineering capabilities and standards to support adoption across multiple business domains.\nDefine AI evaluation and observability frameworks covering task accuracy, execution reliability, safety, latency, cost and operational performance.\nDrive data architecture and governance practices, ensuring data quality, consistency, traceability, security and regulatory compliance.\nOptimise AI application performance through model selection, context management, caching, parallel execution and resource efficiency.\nDesign controlled AI execution architectures, balancing autonomous capabilities with deterministic workflows, human oversight and auditability.\nProvide technical leadership through architectural decisions, engineering standards, code reviews and mentoring, working closely with business, architecture and platform teams.\nRequirements\nBachelor's degree in Computer Science, Engineering or a related field; advanced degree preferred.\nAdvanced hands-on Python skills and strong software engineering fundamentals, including distributed systems, asynchronous programming, concurrency and automated testing.\nProven experience architecting and delivering complex AI applications in production, including LLMs, RAG, tool calling and agent orchestration using frameworks such as LangGraph, LangChain or LlamaIndex.\nStrong expertise in enterprise architecture, distributed systems, API design, event-driven integration and resilient application development.\nDemonstrated experience designing AI evaluation and observability frameworks, including quality assessment, performance monitoring, failure analysis and continuous improvement.\nStrong knowledge of data architecture and governance, including data quality management, metadata, data lineage, access controls and regulatory requirements.\nExperience optimising AI application performance, including model selection, context optimisation, caching, latency reduction and cost efficiency.\nSolid understanding of AI security, responsible AI, deterministic execution, human oversight and auditable decision-making.\nStrong experience with cloud platforms, containerised deployment, CI/CD, production monitoring, troubleshooting and recovery.\nDemonstrated technical leadership in driving architectural decisions, establishing engineering standards, mentoring engineers and delivering complex technical solutions.\nYou’ll achieve more when you join HSBC.\nHSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. 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