HSBC

2 weeks ago

Principal Engineer (Engineering Practice)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Set technical direction across multiple teams to uplift engineering capability, efficiency, and productivity in a regulated environment. Lead AI adoption at scale—defining roadmaps, identifying high-value use cases, and taking prototypes to production with repeatable playbooks. Design AI-enabled workflows, embed responsible AI controls, and drive engineering excellence through automation, metrics, and modern practices. Coach engineers and influence stakeholders across product, security, risk, and operations.

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute an AI adoption roadmap across the engineering organization, identifying use cases and taking them from prototype to production.
•Design reference patterns for AI-enabled engineering workflows, including RAG for internal knowledge, secure prompt patterns, evaluation harnesses, model routing, and guardrails.
•Embed controls for data handling, privacy, IP protection, and secure SDLC when using AI tools, and set governance for prompts, datasets, model outputs, and human-in-the-loop review.
•Improve engineering productivity and quality through AI-enabled automation across CI/CD, code review, testing, release, and observability; define and track engineering metrics.
•Coach engineers and tech leads, run workshops and communities of practice, and mentor senior engineers while influencing stakeholders across regions.

Key Requirements

•Degree in Computer Science/Engineering or related discipline; MSc/PhD preferred.
•10+ years’ software engineering experience, ideally in financial services or other regulated environments.
•Proven track record improving engineering capability and delivery outcomes through modern engineering practices, standards and developer tooling.
•Practical experience applying AI/ML or GenAI in engineering contexts (e.g., copilots, RAG, code intelligence, test generation, incident triage).
•Experience designing secure, scalable platforms and APIs; familiarity with cloud-native patterns and CI/CD.

Experience:10+ yearsFinancial servicesRegulated environments

Education:Master's in Computer Science/Engineering (or related discipline)

Skills:CommunicationCoachingMentoringStakeholder managementLead through influence

Tech Stack:AIAI/MLGenAIRAGSDLC automationCoding assistanceTest generationIncident supportDocumentationKnowledge searchSecure prompt patternsEvaluation harnessesModel routingGuardrailsCI/CDCode reviewTestingReleaseObservabilityPlatform engineering

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

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HSBC

2 weeks ago

Principal Engineer (Engineering Practice)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Sr. Manager level

Key Responsibilities

•Define and execute an AI adoption roadmap across the engineering organization, identifying use cases and taking them from prototype to production.
•Design reference patterns for AI-enabled engineering workflows, including RAG for internal knowledge, secure prompt patterns, evaluation harnesses, model routing, and guardrails.
•Embed controls for data handling, privacy, IP protection, and secure SDLC when using AI tools, and set governance for prompts, datasets, model outputs, and human-in-the-loop review.
•Improve engineering productivity and quality through AI-enabled automation across CI/CD, code review, testing, release, and observability; define and track engineering metrics.
•Coach engineers and tech leads, run workshops and communities of practice, and mentor senior engineers while influencing stakeholders across regions.

Key Requirements

•Degree in Computer Science/Engineering or related discipline; MSc/PhD preferred.
•10+ years’ software engineering experience, ideally in financial services or other regulated environments.
•Proven track record improving engineering capability and delivery outcomes through modern engineering practices, standards and developer tooling.
•Practical experience applying AI/ML or GenAI in engineering contexts (e.g., copilots, RAG, code intelligence, test generation, incident triage).
•Experience designing secure, scalable platforms and APIs; familiarity with cloud-native patterns and CI/CD.

Experience:10+ yearsFinancial servicesRegulated environments

Education:Master's in Computer Science/Engineering (or related discipline)

Skills:CommunicationCoachingMentoringStakeholder managementLead through influence

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