{"id":798000,"url":"https://alion.io/job/naffco-ai-engineer-agentic-ai-enterprise-automation","title":"AI Engineer – Agentic AI & Enterprise Automation","company":{"id":691132,"name":"NAFFCO","domain":"naffco.com","url":"https://alion.io/company/naffco-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"C","score":66,"open_postings":96,"ghost_share":0.563,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Oracle ERP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Databricks","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Power Automate","optional":true}],"status":"live","first_seen_at":"2026-06-01T11:45:47Z","employer_posted_date":"2026-06-01","last_verified_at":"2026-10-30T20:35:36Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":149},"description":"Job Summary\nWe are seeking an AI Engineer to lead the introduction and adoption of agentic AI technologies across the group. You will design, develop, and implement enterprise AI solutions that improve productivity, automation, decision-making, and operational efficiency across industrial, manufacturing, corporate, and support functions.\nYou will have hands-on experience with modern AI ecosystems, including OpenAI platforms, the Anthropic Claude ecosystem, and Microsoft Copilot Studio. You will bring expertise in enterprise architecture, data lakes, AI agents, LLM integration, and business transformation.\nKey Responsibilities\nDesign and implement enterprise agentic AI solutions across key functions, including manufacturing, finance, HR, procurement, supply chain, sales, customer service, and industrial operations.\n\nDevelop AI assistants, copilots, autonomous agents, and workflow automation using:\nMicrosoft Copilot Studio\n\nAzure OpenAI Service\n\nAnthropic Claude ecosystem\n\nLLM APIs and orchestration frameworks\n\nLead enterprise data lake and AI-ready platform architecture, integrating ERP, CRM, manufacturing, IoT, and operational systems.\n\nPartner with stakeholders to identify, evaluate, prioritize, and implement AI use cases with measurable ROI.\n\nBuild secure AI frameworks aligned with cybersecurity, governance, compliance, and enterprise standards.\n\nDevelop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.\n\nDesign AI agents for autonomous decision support, workflow execution, predictive analysis, and recommendations.\n\nEstablish AI governance standards, responsible AI practices, model monitoring, and prompt engineering standards.\n\nCollaborate with infrastructure, cloud, cybersecurity, and application teams to deploy scalable AI environments.\n\nRun AI innovation workshops, enable users, and build internal AI capabilities.\n\nSupport executive leadership in defining enterprise AI strategy and the product roadmap.\n\nTechnical Skills & Requirements\nBachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.\n\n3+ years of experience in AI/ML engineering, enterprise automation, or digital transformation.\n\nStrong hands-on experience with:\nMicrosoft Copilot Studio\n\nAzure OpenAI Service\n\nAnthropic Claude ecosystem\n\nLLM integration and prompt engineering\n\nAI orchestration and autonomous agents\n\nExperience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.\n\nUnderstanding of data lake architecture, ETL pipelines, structured/unstructured processing, and enterprise integrations.\n\nExperience integrating AI solutions with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM, and industrial systems.\n\nFamiliarity with Microsoft Azure, AWS, or Google Cloud.\n\nKnowledge of industrial/manufacturing environments, IoT data, predictive maintenance, and operational analytics is highly preferred.\n\nExperience with AI governance, cybersecurity, compliance, and enterprise architecture.\n\nStrong communication and stakeholder management skills.\n\nPreferred Skills\nExperience in manufacturing or industrial sectors.\n\nExperience with AI agents, multi-agent frameworks, and autonomous workflow systems.\n\nKnowledge of Power Platform, Power Automate, Fabric, Databricks, and enterprise analytics platforms.\n\nAI certifications from 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