{"id":2141829,"url":"https://alion.io/job/construction-industry-council-ai-engineer-industry-development","title":"AI Engineer - Industry Development","company":{"id":1805372,"name":"Construction Industry Council","domain":"cic.org.uk","url":"https://alion.io/company/cic-org-uk","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"cpjobs.com","ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":167000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Chroma","optional":false},{"name":"Databricks","optional":false},{"name":"Digital Twin","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GraphRAG","optional":false},{"name":"gRPC","optional":false},{"name":"JavaScript","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"MVP","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"pgvector","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-08T09:13:57Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-08T09:13:57Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"The applicant must possess:\na recognised university degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fields;\n\na minimum of 5 years’ post-qualification work experience in Data Engineering, AI Engineering, or AI Product Development, with at least 1 year of hands-on experience in Knowledge Graphs;\n\nprofessional certification as a Data or AI Engineer (Associate or Professional level) by AWS, Google Cloud, Microsoft Azure, or IBM will be an advantage;\n\nproven experience in driving end-to-end AI product development, from gathering user requirements and rapid prototyping (MVP) to building production-grade services and managing iterative product rollouts;\n\nsolid background in data engineering, including designing and maintaining scalable ETL/ELT pipelines, data warehousing, handling unstructured AEC data (e.g., PDF drawings/specifications, spatial/point cloud data, IoT sensor streams), and working with vector databases (e.g., Qdrant, Chroma, pgvector);\n\nsolid hands-on experience in ontologies, graph databases, query languages (e.g., Cypher, SPARQL), schema/ontology design, and semantic data modelling to structure and retrieve engineering domain knowledge;\n\nproven ability in LLM fine-tuning, agentic workflows (e.g., LangChain, LlamaIndex), multi-agent frameworks (e.g., AutoGen, AG2), and Model Context Protocol (MCP) tooling;\n\nproficiency in ML/AI/Data platforms and infrastructure, including AWS (SageMaker, EC2), Azure AI, Databricks, Alibaba Cloud, and containerisation/orchestration technologies (Docker, Kubernetes);\n\nhands-on experience in MLOps and LLMOps, including model serving (e.g., FastAPI, gRPC), token/latency/cost optimisation, guardrails, and automated evaluation frameworks;\n\nproficiency in programming languages and database query technologies, including Python, .NET, C++, C#, SQL, and Cypher; knowledge of modern web stacks (JavaScript/TypeScript, React/Node.js) for AI product interfaces will be an advantage;\n\nstrong analytical, problem-solving, and technical documentation skills, with the ability to define benchmarking metrics, conduct rigorous validation, and translate technical discovery into scalable, reliable industry solutions;\n\ngood interpersonal, communication, stakeholder coordination, and time management skills, with the ability to work independently, collaborate effectively with multidisciplinary teams, and demonstrate high enthusiasm for innovation; and\n\ngood command of both written and spoken English and Chinese.\n\n(Applicants who do not possess the required qualifications and experience may be considered for other positions within the organization.)\nDuties include:\nto lead the technical design, engineering implementation, and lifecycle delivery of advanced Agentic AI and data products for the construction sector, accelerating practical AI transformation for SMEs and industry stakeholders;\n\nto design, build, and maintain robust data engineering pipelines, data lakes, and retrieval architectures capable of ingesting and processing structured, unstructured, and multimodal construction data (including BIM models, GIS spatial data, site inspection media, and IoT sensor streams);\n\nto architect, scale, and maintain enterprise Knowledge Graphs and hybrid retrieval systems (integrating GraphRAG, vector databases, and semantic data models) for contextual AI search and intelligent reasoning;\n\nto select, fine-tune, benchmark, and deploy appropriate machine learning, NLP, and large language model (LLM) algorithms to optimise performance, reliability, latency, and operational cost;\n\nto collaborate with software engineers, AEC subject matter experts, and product stakeholders to integrate AI agents and services into BIM platforms, GIS systems, digital twin environments, and web/mobile client applications;\n\nto establish comprehensive evaluation benchmarks, LLMOps pipelines, guardrails, and automated testing harnesses to ensure product robustness, safety, and compliance with data governance standards;\n\nto develop, deploy, and maintain scalable containerised microservices and cloud infrastructure across platforms such as AWS, Azure, Databricks, and Alibaba Cloud;\n\nto explore frontier AI technologies, conducting rapid feasibility studies and proof-of-concept (PoC) builds to evaluate emerging agentic frameworks and MCP integrations for industry adoption;\n\nto produce clear technical documentation, API specifications, system architecture designs, and user guidelines to facilitate smooth knowledge transfer, maintainability, and product scaling;\n\nto collaborate with internal departments, external industry partners, academic institutions, and technology vendors to ensure project delivery and drive technology adoption across the local construction ecosystem; and\n\nto carry out any other duties as assigned by the Executive Director from time to time.\n\nApplications:\nThe position is on a renewable fixed-term contract (subject to performance and operational needs) for a period of 2 years.\nPlease click the below “Apply Online” to complete the application form and upload the updated curriculum vitae, the results of English and Chinese Language obtained in public examinations, current and expected salary together with a covering letter stating one’s suitability for the job on or before 22 October 2026.\nFor further details on CIC please refer to website: http://www.cic.hk.","description_format":"text","description_chars":5402,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Chinese","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Science & Engineering","Online Forums & Community Platforms","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-09T03:27:17Z"}],"visa":[],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.845,"p_room":1,"age_days":6,"expected_fill_days":23,"reasons":["seen:6","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/construction-industry-council-ai-engineer-industry-development","json_url":"https://alion.io/job/construction-industry-council-ai-engineer-industry-development.json","meta":{"generated_at":"2026-10-15T16:59:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25747,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1805372},"rest":"https://alion.io/mcp/rest/get_company?id=1805372"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fconstruction-industry-council-ai-engineer-industry-development"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fconstruction-industry-council-ai-engineer-industry-development"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fconstruction-industry-council-ai-engineer-industry-development"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/construction-industry-council-ai-engineer-industry-development\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fconstruction-industry-council-ai-engineer-industry-development"}]}