{"id":1366183,"url":"https://alion.io/job/dbs-applied-ai-engineer-architect","title":"Applied AI Engineer / Architect","company":{"id":451141,"name":"DBS","domain":"dbs.com","url":"https://alion.io/company/dbs-4","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":16,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","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":45000,"max_usd":101000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":775},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenShift","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Asyncio","optional":true},{"name":"AutoGen","optional":true},{"name":"Claude","optional":true},{"name":"CrewAI","optional":true},{"name":"FastAPI","optional":true},{"name":"Google ADK","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-09-28T04:33:36Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Job Responsibilities:\n1. Leadership & Stakeholder Management\nLeadership: Act as the subject matter expert for Agentic engineering. Guide the overarching AI technology stack selection, system architecture design, and long-term engineering excellence.\n\nUser & Requirement Alignment: Collaborate closely with product management and end-users to translate complex business workflows and user needs into concrete multi-agent requirements.\n\nTeam Mentorship: Mentor and upskill engineering team members on LLM architectures, prompt engineering, asynchronous backend development, and AI engineering best practices.\n\n2. Multi-Agent & LLM Engineering\nAgent System Design: Design and deploy Agents from 0 to 1. Own the architecture design, Tool/Function Calling implementations, multi-Agent collaboration protocols, and complex Workflow orchestrations.\n\nFramework Implementation: Leverage LLM ecosystems and SDKs to build robust corporate solutions using MCP and Agentic Workflows.\n\nAI Evaluation: Build and construct automated evaluation pipelines to validate non-deterministic agent behaviors, optimize decision-making accuracy.\n\n3. Backend & Distributed Systems Infrastructure\nProduction Services: Architect, develop, test, and deploy highly concurrent, high-availability, production-grade Web Services. Independently complete backend service infrastructure.\n\nSystem Optimization: Build and optimize high-performance distributed systems, driving system performance optimization and engineering excellence across the entire stack.\n\nDevOps & Deployment: Utilize containerization technologies like Docker and OpenShift to complete application deployment, scaling, and daily operations.\n\nJob Requirements:\n1. Experience & Track Record\nExperience: Approximately 10 years of professional working experience.\n\nAI Focus: The latest 4-5 years must be specifically dedicated to the AI domain, with a proven track record in LLM and Agent technologies\n\nProject Track Record: Must have 3+ years of hands-on AI-related experience, with active participation in at least 3 real-world production-grade deployment projects. At least 1 project must be a complex Multi-Agent, Agentic Workflow\n\n2. Technical Skills & Tech Stack\nLanguages & Core Backend: Expertise in Python, advanced asyncio, and FastAPI, with a proven track record of designing high-concurrency, high-availability backend architectures.\n\nAI & Multi-Agent Frameworks: Hands-on proficiency with LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, Google ADK, and Claude SDK\n\nLLM Core & Protocols: Deep understanding of model inference, Prompt Engineering, Tool/Function Calling, Model Context Protocol (MCP), and Agentic Workflows.\n\nDevOps & Infrastructure: Experience in distributed system development, building/maintaining complete CI/CD pipelines, and using containerization tools like Docker and OpenShift for deployment and operations.\n\nLocation:\nGuangzhou (DTC)Job:\nData TechnologySchedule:\nRegularEmployee Status:\nFull time","description_format":"text","description_chars":2966,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-28T02:13:22Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.476,"p_room":0.28,"age_days":69,"expected_fill_days":30,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dbs-applied-ai-engineer-architect","json_url":"https://alion.io/job/dbs-applied-ai-engineer-architect.json","meta":{"generated_at":"2026-09-28T06:10:15Z","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":4299,"day_limit":5000,"remaining_today":701,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}