{"id":1252075,"url":"https://alion.io/job/standard-chartered-ai-lead-engineer","title":"AI Lead Engineer","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":773},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"Docker Swarm","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Maven","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Post-training","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SFT","optional":false},{"name":"Spring Cloud","optional":false},{"name":"Transformers","optional":false},{"name":"LLMOps","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:36:02Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T20:10:51Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Summary\nAs an AI Application Engineer, you’ll be responsible for integrating, fine-tuning, and operationalizing large language models and other AI components into production-grade software systems. This role focuses on post-training workflows-such as fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database integration, and model deployment-rather than foundational model development.\nYou’ll work closely with backend engineers, product teams, and data teams to build intelligent apps that are fast, accurate, consistent and production ready.\nKey Responsibilities\nSoftware Delivery\nIntegrate LLMs and other AI components into web and backend applications.\nFine-tune open models using techniques like LoRA, QLoRA, or supervised fine-tuning.\nBuild RAG pipelines using vector databases.\nDesign and optimize prompts for various tasks (prompt chaining, templating, few-shot setups).\nPackage and deploy models for inference\nEvaluate and monitor AI model performance in live environments.\nEnsure scalable, secure, and compliant use of AI systems in production.\nStay informed on LLM tooling ecosystems (LangChain, LlamaIndex, OpenAI APIs, Hugging Face, Spring AI etc.)\nStrategy\nAwareness and understanding of the Group’s business strategy and model appropriate to the role.\nBusiness\nAwareness and understanding of Trade Finance, the wider business, economic, and market environment in which the Group operates.\nProcesses\nEnsure adherence to Systems Development Framework and control processes.\nEnsure delivery of all software artefacts\nPeople & Talent\nLead through example and build the appropriate culture and values. Set appropriate tone and expectations from their team and work in collaboration with risk and control partners.\nEnsure the provision of ongoing training and development of people and ensure that holders of all critical functions are suitably skilled and qualified for their roles ensuring that they have effective supervision in place to mitigate any risks.\nEmploy, engage, and retain high quality people, with succession planning for critical roles.\nResponsibility to review team structure/capacity plans.\nSet and monitor job descriptions and objectives for direct reports and provide feedback and rewards in line with their performance against those responsibilities and objectives.\n\nRisk Management\nAwareness and understanding of the Bank’s risk management processes and practices.\nGovernance\nAwareness and understanding of the Bank’s governance frameworks applicable to Trade Finance and practices that support them.\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\nCIB Trade ITO Team\nSkills and Experience\nMicro-services development using Python\nJava, Spring, Spring Cloud\nVirtualization, Containerisation, and Orchestration (AWS, Docker, Docker Swarm, Kubernetes)\nContinuous Integration/Deployment (CI/CD) and Automation (Jenkins, Ansible)\nProject Management\nPrompt Engineering strategies and LLM handling\nRAG, Embeddings, Vector DB, MCP experience\nConfluence/Azure DevOps or Git, CI / CD (Maven, Git, Jenkins), Eclipse or Intelij IDEA\nSoftware Development\nQualifications\nRequired Qualifications\nBachelors or Masters in Computer Science, Engineering, or a related field.\n2+ years of experience building AI-augmented applications or services.\nProficient in Python and familiar with frameworks like LangChain, Transformers, or Hugging Face datasets.\nUnderstanding of vector embeddings and experience with vector search tools.\nStrong grasp of model deployment workflows (e.g., Docker, REST APIs, cloud services like AWS/Microsoft Azure).\nFamiliarity with prompt engineering strategies and LLM behavior tuning.\nExperience integrating with APIs from OpenAI, Anthropic, or open-source models like Mistral or LLaMA.\n Preferred Qualifications\nExperience fine-tuning models using PEFT methods (LoRA/QLoRA).\nFamiliarity with LLMOps, observability, and model evaluation\nExposure to security, privacy, and responsible AI practices.\nPrior experience building chatbots, copilots, document analyzers, or other AI apps.\nContributions to open-source AI tools or GenAI workflows.\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 - everyone feels respected and can realise their full potential.","description_format":"text","description_chars":7113,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Continuous learning","Flexible schedule","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T18:36:02Z"}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.7,"p_room":0.35,"age_days":4,"expected_fill_days":2,"reasons":["conf:4","velocity","win:tail","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/standard-chartered-ai-lead-engineer","json_url":"https://alion.io/job/standard-chartered-ai-lead-engineer.json","meta":{"generated_at":"2026-10-01T05:01:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4673,"day_limit":5000,"remaining_today":327,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}