{"id":2735408,"url":"https://alion.io/job/standard-chartered-head-ai-engineering","title":"Head, AI Engineering","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":80,"open_postings":24,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Guangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":116000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3645},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-03T00:00:00Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-17T04:45:58Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"Job Summary\nThe Head of AI Engineering leads the engineering organization responsible for the bank's AI factory platform, providing end-to-end ownership of platform architecture, software engineering, AI operations, and service delivery. the role drives the development of enterprise AI capabilities, ensures platform reliability and compliance, and enables the scalable adoption of AI, Generative AI, and Agentic AI solutions across the bank through strong engineering leadership and operational excellence\nKey Responsibilities - Head of AI Engineering\nStrategic Engineering Leadership & Innovation\nDefine and execute the AI Engineering strategy to build and operate the Bank's AI Factory platform, enabling scalable delivery of AI, Machine Learning, Generative AI, and Agentic AI solutions.\nLead the engineering roadmap for enterprise AI capabilities including Model Hosting, RAG Platforms, Agent Frameworks, AI Workspaces, AI Lifecycle Services, and Developer Tooling.\nDrive standardization, automation, and engineering best practices to accelerate AI solution delivery across the Bank.\nEvaluate emerging AI technologies, frameworks, and engineering patterns to continuously improve platform capabilities and developer productivity.\nPartner with Product, Architecture, and Business stakeholders to translate strategic objectives into scalable engineering solutions.\nAI Platform Architecture & Engineering Delivery\nLead the architecture, design, development, and operation of secure, scalable, and resilient AI Factory platforms across cloud, on-premises, and hybrid environments.\nEstablish engineering standards, reference architectures, reusable frameworks, APIs, and development patterns for AI/ML, GenAI, RAG, and Agentic AI solutions.\nOwn end-to-end platform delivery, including infrastructure provisioning, AI development environments, model deployment, inference services, and platform operations.\nDrive adoption of modern software engineering practices including CI/CD, Infrastructure as Code, automated testing, release management, and platform automation.\nEnsure platform scalability, availability, performance, reliability, and operational resilience through robust engineering and architecture practices.\nKey Responsibilities\nAI Operations, MLOps & Reliability Engineering\nEstablish and lead MLOps, LLMOps, and Platform Engineering capabilities covering model deployment, monitoring, observability, evaluation, performance optimization, and operational support.\nImplement engineering controls for platform reliability, incident management, disaster recovery, capacity planning, and production support.\nDrive engineering excellence through metrics, automation, telemetry, and continuous improvement initiatives.\nEnsure AI platforms operate with appropriate service levels, support models, operational procedures, and recovery mechanisms.\nLead engineering readiness for enterprise-scale AI adoption through automation, self-service capabilities, and operational tooling.\nSecurity, Controls & Engineering Risk Management\nEmbed security-by-design principles across AI Factory engineering processes and platform services.\nPartner with Cyber Security (ICS), Infrastructure, Risk, and Architecture teams to ensure engineering solutions meet enterprise security and compliance requirements.\nImplement technical controls supporting AI governance, data protection, access management, monitoring, and auditability requirements.\nDrive remediation of engineering-related control gaps, vulnerabilities, technical debt, and operational risks.\nEnsure responsible AI guardrails, monitoring solutions, and safety mechanisms are engineered into platform capabilities.\nStakeholder Management & Cross-Functional Delivery\nCollaborate closely with Product Management, Architecture, Infrastructure, Data, Operations, Security, and Business teams to deliver enterprise AI capabilities.\nProvide technical leadership and guidance for strategic AI programmes and large-scale engineering initiatives.\nSupport executive governance forums through engineering insights, delivery reporting, platform health metrics, and technology roadmaps.\nDrive alignment across global engineering teams, ensuring consistent engineering standards, delivery practices, and operational processes.\nPeople Leadership & Engineering Capability Development\nBuild, lead, and develop high-performing engineering teams across AI Engineering, Platform Engineering, Site Reliability Engineering, and DevOps functions.\nFoster a culture of engineering excellence, innovation, accountability, automation, and continuous learning.\nEstablish engineering career frameworks, succession plans, and talent development programmes.\nMentor senior engineers and engineering leaders while driving technical excellence across the organization.\nLead geographically distributed engineering teams and create a collaborative, high-performance engineering culture.\nRegulatory & Business Conduct\nDisplay exemplary conduct and live by the Group’s Values and Code of Conduct.\nTake personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.\nEffectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.\nKey stakeholders\nTTO Management Team\nT&A Management Team\nCDO\nSoftware Engineering Platform Teams\nBusiness, Regional & Country CIOs & COOs\nOperational, Technology & Cyber Risk\nChief Data Office\nGroup and Country Compliance & Regulators\nGroup Internal Audit\nGroup Operational Risk\nSkills and Experience\nHands on with AI platform development and monitoring\nHands on with ML framework, best practices and ops implementation\nHands-on experience with GPU computing and optimization for AI workloads\nHands-on experience with design and implementation of sophisticated data catalogue\nProgramming languages such as Python, Java, or C++.\nQualifications\n15+ years of technology leadership experience in Software Engineering, AI/ML Platforms, Cloud Engineering, Distributed Systems, or Enterprise Technology organizations.\nProven experience leading large-scale engineering organizations responsible for building and operating enterprise platforms and products.\nDeep expertise in AI Platform Engineering, Software Engineering, MLOps, LLMOps, Platform Operations, and Cloud-Native Architecture.\nDemonstrated success building and operating enterprise AI platforms supporting Machine Learning, Generative AI, Agentic AI, and advanced analytics workloads at scale.\nStrong hands-on understanding of distributed systems, microservices, API platforms, infrastructure automation, observability, reliability engineering, and platform security.\nExperience designing and delivering enterprise AI capabilities including model hosting, RAG platforms, AI development environments, inference services, model lifecycle management, and reusable AI services.\nProven delivery of enterprise-grade platforms within highly regulated environments, with strong appreciation for security, resiliency, audit, and compliance requirements.\nExperience implementing CI/CD, Infrastructure as Code, DevSecOps, Site Reliability Engineering (SRE), and modern software delivery practices.\nStrong understanding of cybersecurity controls, identity and access management, operational resilience, and engineering risk management.\nProven ability to build, mentor, and scale high-performing engineering organizations across multiple regions.\nExceptional stakeholder management skills with experience influencing senior technology leaders, architects, risk functions, and executive stakeholders.\nExperience leading global engineering teams delivering mission-critical technology platforms across multiple geographies and time zones.\nAbout Standard Chartered\nWe're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.\nOur purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.\nTogether we:\nDo the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do\nNever settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well\nAre better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term\nWhat we offer\nIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.\nCore bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.\n Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.\nFlexible working options based around home and office locations, with flexible working patterns.\nProactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits\nA continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.\n Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - 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