{"id":4161571,"url":"https://alion.io/job/kering-kering-principal-ai-engineer-agentic-systems","title":"KERING Principal AI Engineer-Agentic Systems","company":{"id":1762937,"name":"Kering","domain":"kering.com","url":"https://alion.io/company/kering","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":77,"open_postings":218,"ghost_share":0,"stale_share":0.922,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-14T05:58:10Z"}},"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":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Dify","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-11-12T12:27:48Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T10:30:06Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Summary\nKering Tech & Digital Greater China is expanding its in-house engineering team. As Principal AI Engineer, you will provide hands-on technical leadership for AI agents across key business applications, from architecture and implementation to evaluation and ongoing improvement.Working closely with business and engineering teams, you will understand how each agent is used, identify what limits its effectiveness and lead the changes that improve it. This is a senior individual contributor role with scope across projects, including technical review of partner-built solutions and their transition to in-house development.\nJob Description\nHow you will contribute\nAI Architecture & Business Understanding\nWork with product managers and business experts to understand workflows, assess where agents can help, and define expected outcomes, operating limits and human decision points.\nDesign agent systems on shared orchestration and knowledge services, covering model selection, prompts, retrieval, state, memory and tools. Balance task quality, reliability, response time and cost.\nWrite, review and debug production code in Python and other languages as needed. Resolve failures across agent logic, business APIs and services while preserving API contracts, authorization and traceability.\nEvaluation & Continuous Improvement\nBuild evaluation suites from business scenarios, production failures and user feedback. Work with domain experts and QA to assess task completion, response quality, permission boundaries and the correctness of actions.\nUse execution traces and evaluation results to diagnose weaknesses in prompts, context, tools and agent logic. Compare changes against a baseline and check for regressions before release.\nDevelop repeatable optimization workflows with versioned prompts, configurations, code and tests. Use reviewed releases and recovery plans to introduce improvements to production agents.\nTechnical Leadership & Partner Collaboration\nReview delivery partners’ architectures, code, prompts, workflow configurations and evaluation evidence. Resolve design and quality issues with them and support technical acceptance within Kering’s engineering standards.\nLead the technical transition of selected partner-built agents, retaining source code, workflow definitions, evaluation assets and operating knowledge so the team can reproduce, support and improve them internally.\nMentor engineers and establish reusable agent patterns with the development lead, platform engineers and QA. Guide the use of shared model access, knowledge services and approved business APIs.\nWho you are?\nExperience & Technical Skills\nBachelor’s degree or above in Computer Science, Software Engineering, or a related field.\nExtensive software or AI engineering experience, typically eight or more years, including hands-on technical leadership of AI agents used in production.\nStrong Python and software engineering fundamentals, with a track record of solving problems across programming languages and technology stacks. Able to understand, modify and debug unfamiliar codebases.\nPractical experience using AI-assisted development to investigate unfamiliar codebases, implement changes and build tests, with independent judgment in reviewing the results for correctness, security and maintainability.\nDeep practical understanding of tool-using agents, context management, retrieval-augmented generation (RAG), state, memory and orchestration; able to choose between configured workflows and custom code.\nExperience designing agent evaluations, investigating production traces, and combining automated checks with expert review to assess quality and guide improvements.\nExperience supporting production applications: containerized deployment, CI/CD, identity and access control, monitoring, incident diagnosis and recovery.\nAbility to design and assess business API contracts (REST/OpenAPI), including user and tenant permissions, input validation, action confirmation and safe handling of retries.\nEvidence of translating business workflows into technical decisions and leading design discussions with engineers, product teams and delivery partners.\nFluency in Mandarin and good working proficiency in English.\nPreferred Experience\nExperience taking over externally developed AI applications and maintaining them through subsequent releases.\nExperience with Dify or comparable orchestration platforms, Model Context Protocol (MCP), or automated prompt and agent optimization validated through regression testing.\nPersonal Attributes\nYou stay close to implementation and follow difficult problems through to resolution.\nYou explain technical trade-offs clearly and build agreement across teams through evidence and practical examples.\nYou seek feedback from users and engineers, and turn what you learn into better systems and shared working practices.\nJob Type\nFixed Term （固定期限）Start Date\n2026-12-14Schedule\nFull timeOrganization\nKering Investment Management Group Co., Ltd.","description_format":"text","description_chars":4986,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Jewelry","Luxury Goods & Designer Brands","Bags, Luggage & Leather Goods"],"lifecycle":[{"event":"open","at":"2026-11-12T12:27:48Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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