{"id":2494909,"url":"https://alion.io/job/cummins-ai-lab-infrastructure-and-operations-manager","title":"AI Lab Infrastructure and Operations Manager","company":{"id":1758413,"name":"Cummins","domain":"cummins.com","url":"https://alion.io/company/cummins-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":84,"open_postings":75,"ghost_share":0,"stale_share":0.827,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Management","role_family":"Management","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":62000,"period":"year","method":null,"sample_n":19148},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Platform Engineering","optional":false},{"name":"Incident Management","optional":true}],"status":"live","first_seen_at":"2026-10-14T01:44:44Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-31T14:39:17Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Job Summary:\nProvides system operational support ensuring the effectiveness, efficiency, accuracy, and availability of systems for end users. Coaches and mentors less experienced team members.\nKey Responsibilities:\nPerforms routine maintenance, facilitates customization and changes, and ensures system disaster recovery.\nLeads new employee technology setup, including computer setup, delivery, and system access.\nResolves non-obvious issues and performs authorized changes and upgrades to existing systems.\nPerforms preventative maintenance on IT systems and networks, and monitors system performance and accuracy.\nConducts complex root-cause analysis to identify issues.\nCoaches and mentors less experienced security analysts, and documents knowledge and solutions for use across the organization\nEnsures IT services meet agreed performance, availability, and customer satisfaction standards by monitoring service metrics and proactively addressing issues impacting service quality.\nCollaborates with Service Delivery Leaders and Engineering teams to validate fixes, confirm resolution, and implement preventive measures to avoid future service disruptions.\n Competencies:\nTechnical Acumen - Demonstrates broad and adaptable technical expertise to ensure reliable IT service delivery, support, and administration across diverse environments, including enterprise, cybersecurity, and operational technology domains.\nProcess Management and Optimization - Designs, refines, and automates IT operations processes to improve efficiency, consistency, service quality, security, and cost effectiveness across diverse environments.\nService Quality and Reliability - Ensures IT services consistently meet performance, availability, and user satisfaction expectations by proactively maintaining service integrity, minimizing disruptions, and driving continuous improvement through collaboration, cost-effective practices, and operational excellence.\nRisk Management - Proactively identifies, assesses, and mitigates risks to IT services, data, and operations by applying structured controls and communication strategies to strengthen resilience, ensure compliance, and reduce business impact through structured controls, cost-aware decision-making, and communication strategies.\nIncident and Problem Management - Responds to disruptions and recurring issues by restoring service quickly, identifying root causes, and applying structured methods to reduce risk, improve reliability, and prevent recurrence.\nStandardization and Documentation - Creates and maintains clear, accessible documentation and standardized procedures to ensure consistent practices, traceability, and knowledge sharing across IT environments. \nReporting and Analytics - Uses data and reporting tools to monitor, analyze, and improve IT operational performance, enabling proactive decision-making, compliance, and service excellence across enterprise and local environments.\nDemonstrating Domain Mastery - Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks through targeted credentials and rigorous proficiency, future-proofing organizational skills against strategic needs.\nVendor Engagement and Management - Builds and maintains effective relationships with external vendors to ensure IT services, tools, and support meet business needs.\nDriving Effective Outcomes - Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences while navigating ambiguity and change to drive momentum and deliver consistent results.\nEngaging with Impact - Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action across teams and functions to accelerate outcomes.\nValues Differences - Recognizing the value that different perspectives and cultures bring to an organization.\nEnsuring Customer Success - Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions, delivery, adoption, satisfaction, and realized value through sustained engagement that builds partnership and trust.\nEducation, Licenses, Certifications:\nCollege, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.\nExperience:\nIntermediate level of relevant work experience required.\n AI Lab Infrastructure & Operations Manager\nCummins AI Lab - Artificial Intelligence Laboratory\nAbout Cummins AI Lab\nThe Cummins AI Lab integrates applied AI research, engineering workflows, manufacturing processes, and enterprise platforms to deliver high-value AI solutions across Cummins' global operations. We build and operate the infrastructure, technology ecosystem, and experimentation environment that enable rapid AI innovation, proof-of-concept validation, and scalable enterprise AI adoption.\nRole Overview\nThe AI Lab Infrastructure & Operations Manager owns the reliable, secure, and efficient operation of the AI Lab environment. The role manages software platforms, AI services, hardware assets, computing resources, lab infrastructure, vendors, contractors, and supporting team members. It ensures that researchers, solution architects, and project teams can access fit-for-purpose platforms, tools, environments, and operational support.\nThis is a management and technical enablement role. The emphasis is on technology evaluation, introduction, governance, resource optimization, service continuity, and operational excellence rather than deep architecture design, platform engineering, or framework development.\nKey Responsibilities\n1. Software Platform & AI Service Operations\nManage AI cloud environments, AI platforms, hosted AI services, model APIs, and related service subscriptions used by the AI Lab.\n\nCoordinate the onboarding, configuration, operation, maintenance, and lifecycle management of AI services and platforms.\n\nEvaluate and introduce external foundation models, model inference services, deployment frameworks, and technical tools based on lab needs.\n\nConduct fit-for-purpose technical assessments covering usability, compatibility, reliability, security, operational effort, scalability, and cost.\n\nMaintain service inventories, ownership records, operating guidance, access models, and support processes for lab software capabilities.\n\nCoordinate incident resolution, service changes, renewals, and escalation with internal IT teams and external providers.\n\n2. Hardware Infrastructure & Computing Resource Management\nManage AI all-in-one servers, AI mobile workstations, GPU computing resources, lab devices, and related infrastructure assets.\n\nPlan and coordinate resource allocation, workload scheduling, capacity usage, and computing availability across AI Lab activities.\n\nMonitor utilization, availability, maintenance status, and operational risks, and recommend actions to improve effective resource use.\n\nOwn hardware inventory, assignment, maintenance coordination, upgrade planning, warranty tracking, and lifecycle management.\n\nCoordinate equipment installation, configuration, technical support, and issue resolution with vendors, contractors, and enterprise IT teams.\n\n3. AI Lab Environment, Network & Operational Governance\nLead day-to-day management and operations of the AI Lab infrastructure environment.\n\nCoordinate lab environment readiness, network connectivity, access, accounts, permissions, storage, and supporting services.\n\nEstablish and maintain operating standards for resource requests, environment access, equipment usage, change management, incident handling, and asset governance.\n\nMaintain operational documentation, service runbooks, inventories, usage records, and management dashboards.\n\nDrive service continuity, issue prevention, operational risk management, and continuous improvement for lab infrastructure and services.\n\n4. Data Security, Compliance & Risk Coordination\nCoordinate data security, cybersecurity, privacy, and compliance requirements for AI Lab platforms, models, devices, networks, and external services.\n\nPartner with enterprise IT, cybersecurity, architecture, procurement, legal, and relevant governance teams to complete required reviews and controls.\n\nSupport access control, data classification, secure configuration, logging, patching, vulnerability handling, and risk remediation processes.\n\nAssess operational and security implications before introducing external models, cloud services, inference frameworks, or new devices.\n\nMaintain risk, issue, exception, and remediation tracking for the lab infrastructure environment.\n\n5. Technology Evaluation & Lab Enablement\nScan and evaluate emerging AI infrastructure technologies, AI services, model deployment options, inference frameworks, hardware solutions, and productivity tools.\n\nOrganize trials and technical evaluations with solution architects, research scientists, users, contractors, and vendors.\n\nProvide practical recommendations on platform selection, service adoption, resource use, operational readiness, and future infrastructure needs.\n\nEnable PoC teams by provisioning suitable environments, coordinating computing resources, and resolving infrastructure dependencies.\n\nCapture evaluation findings, limitations, operating requirements, and recommendations for reuse across the AI Lab.\n\n6. Vendor, Contractor & Budget Management\nManage relationships and operational coordination with cloud providers, hardware suppliers, software vendors, service providers, and technical partners.\n\nDefine work packages, assign tasks, track deliverables, review service quality, and manage performance for contractors supporting AI infrastructure and lab operations.\n\nCoordinate quotations, procurement inputs, contracts, renewals, licenses, warranties, and support arrangements with relevant internal teams.\n\nMonitor infrastructure and service spending, usage, commitments, and budget risks, and identify optimization opportunities.\n\nLead issue escalation and resolution across vendors, contractors, internal IT teams, and AI Lab stakeholders.\n\n7. Team Leadership & Operational Excellence\nLead employees, contractors, and support resources responsible for infrastructure and operations activities.\n\nSet priorities, clarify ownership, allocate work, review outcomes, and build a reliable service-oriented operating culture.\n\nDevelop team capability in platform operations, infrastructure management, lab governance, documentation, and user support.\n\nDefine service expectations and track relevant availability, utilization, incident, delivery, and customer support indicators.\n\nDevelop and execute an AI Lab infrastructure and operations roadmap aligned with lab growth and project demand.\n\nRequired Qualifications\nBachelor's or Master's degree in Information Technology, Computer Science, Engineering, AI, or a related discipline, or equivalent practical experience.\n\nExperience in infrastructure operations, platform operations, technical operations, IT service management, lab operations, or a related field.\n\nHands-on experience managing cloud platforms, enterprise technology services, servers, workstations, networks, or technical environments.\n\nExperience coordinating vendors and service providers and managing contractors or technical support resources.\n\nPeople leadership experience, including work planning, delegation, performance follow-up, capability development, and stakeholder management.\n\nWorking knowledge of security, access control, data protection, asset management, incident management, and operational risk practices.\n\nStrong organizational, communication, documentation, problem-solving, and cross-functional coordination skills.\n\nAbility to balance multiple operational priorities in a fast-moving innovation environment.\n\nPreferred 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