{"id":1318460,"url":"https://alion.io/job/cmcglobal-ai-engineer-us","title":"AI Engineer – US","company":{"id":3827704,"name":"CMC Global","domain":"cmcglobal.com.vn","url":"https://alion.io/company/cmcglobal","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"C","score":61,"open_postings":118,"ghost_share":0.653,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":49000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-08-05T09:18:18Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-23T22:08:00Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":78},"description":"JOB DESCRIPTION\nLead the design and development of enterprise Generative AI applications supporting critical business functions.\nBuild scalable AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and orchestration frameworks.\nPartner with business stakeholders to identify high-value AI opportunities and convert requirements into technical solutions.\nMentor AI Engineers and establish engineering best practices for coding, testing, documentation, and deployment.\nCollaborate with architects, cybersecurity, cloud, infrastructure, and data teams to deliver secure, production-ready AI solutions.\nEvaluate emerging AI technologies and recommend improvements that align with enterprise strategy.\nOptimize AI models for performance, reliability, scalability, security, and cost efficiency.\nPresent technical recommendations, solution designs, and implementation updates to leadership and cross-functional teams.\nWorking Location: US\nREQUIREMENTS\nBachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related discipline.\n7-10 years of software engineering experience with at least 5 years building AI/ML or Generative AI solutions.\nStrong business acumen with the ability to understand enterprise processes and recommend AI-driven improvements.\nHands-on experience with Python, OpenAI, Azure AI, AWS Bedrock, LangChain, LangGraph, vector databases, APIs, Docker, Kubernetes, Git, and cloud-native architectures.\nExcellent communication, collaboration, and stakeholder management skills in large enterprise environments.\nPreferred Qualifications\nExperience within automotive, manufacturing, or industrial environments.\nKnowledge of MLOps, AI governance, CI/CD, and enterprise software delivery.\nExperience leading AI projects and mentoring technical teams.\nHOW TO APPLY\nPlease send your application via email: \n*By submitting your application to , you acknowledge that you have read, understood, and agreed to CMC Global’s REGULATIONS ON THE PROTECTION OF CANDIDATES’ PERSONAL INFORMATION.\nThe post AI Engineer - 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