{"id":3988047,"url":"https://alion.io/job/armada-manager-ai-data-engineering","title":"Manager AI & Data Engineering","company":{"id":4470336,"name":"Armada","domain":"armada.net","url":"https://alion.io/company/armada-15","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Leadership","role_family":"Leadership","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":["Wexford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-09T21:20:03Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:19:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"SUMMARY\nThis position serves as Armada's lead AI & Data engineer while developing talent in the Artificial Intelligence space. Responsible for owning the technical vision, architecture, engineering standards, and future-state capabilities that enable AI at enterprise scale.\nThis role is designed for a recognized technical leader who has successfully delivered AI, cloud, data, and software engineering solutions and is ready to own the strategic direction of Armada's AI engineering ecosystem. The Manager of AI and Data Engineering will lead the design and implementation of enterprise AI platforms, intelligent agents, generative AI solutions, advanced analytics architectures, and scalable AI engineering practices across the organization.\nThe ideal candidate brings deep expertise across Azure, Microsoft Fabric, Databricks, Snowflake, modern software engineering, cloud-native architectures, and emerging AI technologies. They possess the technical depth to solve complex engineering challenges and the leadership ability to influence technology strategy across business and IT stakeholders.\nThis role is expected to establish the engineering foundation that enables Armada to scale AI safely, efficiently, and responsibly while driving measurable business value.\nPRIMARY RESPONSIBILITIES\nEnterprise AI and Data Engineering\nEstablish technical standards, solution architectures, and engineering patterns for all AI initiatives.\n\nLead technology decisions involving AI platforms, data platforms, cloud infrastructure, and intelligent automation capabilities.\n\nEvaluate emerging AI technologies and determine enterprise applicability.\n\nCreate scalable architectural patterns that balance innovation, maintainability, security, and cost optimization.\n\nServe as the coach for AI engineering across Armada.\n\nEnterprise AI Platform Ownership\nDesign and evolve Armada's AI platform capabilities across Azure, Microsoft Fabric, Databricks, and Snowflake.\n\nEstablish platform strategies for Generative AI, RAG, machine learning, agent frameworks, vector search, and intelligent automation.\n\nDefine standards for AI lifecycle management, model deployment, monitoring, and observability.\n\nBuild reusable engineering capabilities that accelerate AI delivery across the enterprise.\n\nEstablish AI engineering guardrails, governance controls, and operational standards.\n\nAI Application & Agent Development\nLead the design and implementation of enterprise AI agents and copilots.\n\nArchitect Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge assets.\n\nDesign intelligent workflows that integrate AI into operational business processes.\n\nBuild scalable API and microservices architectures that expose AI capabilities across Armada applications.\n\nDrive adoption of AI-powered decision support, automation, and augmentation capabilities.\n\nEstablish standards for prompt engineering, orchestration, evaluation, and AI performance measurement.\n\nAdvanced Engineering Leadership\nServe as principal architect for highly complex AI and data initiatives.\n\nLead technical design reviews and architecture governance activities.\n\nPartner with engineering teams to solve difficult scalability, performance, reliability, and security challenges.\n\nMentor and manage two or more engineers on the team.\n\nDrive engineering excellence through best practices, standards, code quality, and technical coaching.\n\nMINIMUM QUALIFICATIONS\nBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related discipline.\n\n4+ years of hands-on data and AI engineering, including machine learning, advanced analytics, or intelligent automation experience.\n\n3+ years of formal hands-on people management experience.\nDemonstrated success delivering enterprise-scale production AI solutions.\nExceptional communication and influence skills.\n\nAbility to lead cross-functional initiatives without direct authority.\n\nREQUIRED TECHNICAL EXPERTISE\n·Microsoft Azure\nAzure AI Foundry\n\nAzure Machine Learning\n\nAzure Functions\n\nAzure API Management\n\nAzure DevOps\n\nCo-Pilot Studios\n\n·Microsoft Fabric\n·Databricks\n· Snowflake\nDESIRED EXPERIENCE\nGenerative AI & Agent Engineering\nEnterprise RAG Solutions\n\nAgentic AI Architectures\n\nMulti-Agent Systems\n\nVector Databases\n\nKnowledge Graphs\n\nAI Evaluation Frameworks\n\nPrompt Engineering at Scale\n\nAI Model Observability\n\nAI Safety Controls\n\nModern Software Engineering\nPython\n\nC#\n\nTypeScript\n\nREST APIs\n\nEvent-Driven Architecture\n\nMicroservices\n\nCI/CD Automation\n\nTest Automation\n\nContainerization\n\nPlatform Engineering\nInfrastructure as Code\n\nPlatform Automation\n\nMLOps","description_format":"text","description_chars":4618,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":2,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Logistics","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-11-09T22:19:05Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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