HSBC

4 hours ago

Sr. Associate Director, Software Engineering (AI Platform Technical Engagement Lead) (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead technical engagement for onboarding and adoption of the bank’s AI platform across multiple use-case teams. Drive discovery to translate business objectives and constraints into actionable guidance on security, latency, and availability. Advise teams on platform capabilities for LLM enablement and deployment patterns, accelerate delivery with reusable integration patterns, and scale responsible AI adoption with measurable outcomes and continuous improvement.

Location: Shenzhen, Guangzhou, Xi'an

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Lead technical engagement for onboarding and adoption of the AI platform, acting as primary technical point of contact for multiple use-case teams.
•Run discovery sessions to gather business objectives, data constraints, risk posture, and non-functional requirements (e.g., security, latency, availability).
•Provide platform capability advice and solution consultancy, recommending best-fit AI platform capabilities and tooling aligned to platform standards.
•Accelerate delivery by supporting integrations with platform services and troubleshooting onboarding blockers using reusable patterns.
•Scale responsible AI adoption across the bank by feeding friction points into the platform roadmap, building communities of practice, and measuring adoption outcomes.

Key Requirements

•Bachelor’s, Master’s, or PhD degree in Machine Learning, Natural Language Processing, Computer Science, Data Science, Statistics, or a related field.
•Strong AI engineering and platform technical breadth, including LLM enablement (prompting patterns, RAG, vector search, evaluation/guardrails) and productionising GenAI use cases.
•Experience working in large-scale, federated enterprises with shared platforms and diverse engineering standards.
•Consultative stakeholder management skills, including influencing without formal authority and translating ambiguous requirements into technical recommendations.
•Architecture and integration experience designing patterns with enterprise services (identity/access management, data platforms, logging/monitoring, secrets management) in a risk-aware environment.

Experience:Enterprise platformsGenAILLMFederated enterprises

Education:

Skills:CommunicationStakeholder managementInfluenceProblem solvingContinuous improvement

Tech Stack:LLM enablementPrompting patternsRAGVector searchEvaluation/guardrailsGenAIPythonAPIsMicroservicesContainersCloudHybrid environmentsIdentity and access managementData platformsLoggingMonitoringSecrets managementObservability

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

HSBC

4 hours ago

Sr. Associate Director, Software Engineering (AI Platform Technical Engagement Lead) (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Shenzhen, Guangzhou, Xi'an

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Lead technical engagement for onboarding and adoption of the AI platform, acting as primary technical point of contact for multiple use-case teams.
•Run discovery sessions to gather business objectives, data constraints, risk posture, and non-functional requirements (e.g., security, latency, availability).
•Provide platform capability advice and solution consultancy, recommending best-fit AI platform capabilities and tooling aligned to platform standards.
•Accelerate delivery by supporting integrations with platform services and troubleshooting onboarding blockers using reusable patterns.
•Scale responsible AI adoption across the bank by feeding friction points into the platform roadmap, building communities of practice, and measuring adoption outcomes.

Key Requirements

•Bachelor’s, Master’s, or PhD degree in Machine Learning, Natural Language Processing, Computer Science, Data Science, Statistics, or a related field.
•Strong AI engineering and platform technical breadth, including LLM enablement (prompting patterns, RAG, vector search, evaluation/guardrails) and productionising GenAI use cases.
•Experience working in large-scale, federated enterprises with shared platforms and diverse engineering standards.
•Consultative stakeholder management skills, including influencing without formal authority and translating ambiguous requirements into technical recommendations.
•Architecture and integration experience designing patterns with enterprise services (identity/access management, data platforms, logging/monitoring, secrets management) in a risk-aware environment.

Experience:Enterprise platformsGenAILLMFederated enterprises

Education:

Skills:CommunicationStakeholder managementInfluenceProblem solvingContinuous improvement

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn