{"id":4306174,"url":"https://alion.io/job/hansen-technologies-manager-ai-research-computing-initiatives","title":"Manager, AI & Research Computing Initiatives","company":{"id":49842,"name":"Hansen Technologies","domain":"hansencx.com","url":"https://alion.io/company/hansen-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Management","role_family":"Management","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Incident Management","optional":false},{"name":"Machine Learning","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-14T07:29:57Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T07:29:57Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Manager, AI & Research Computing Initiatives\nJob ID: 3743\nClient: Boston University\nLocation: Boston, MA\nDuration: 9-Month Contract\nWork Arrangement: Hybrid - Must be local to Boston, MA\nSchedule: 40 Hours per Week\nIndustry: Higher Education / Artificial Intelligence / Research Computing\nJob Overview\nSigma Inc. is seeking an experienced Manager, AI & Research Computing Initiatives for a 9-month contract opportunity supporting Boston University in Boston, MA.\nThis leadership position will drive the strategy, planning, and development of artificial intelligence infrastructure and research computing initiatives. The ideal candidate will have a strong background in AI/ML infrastructure, High-Performance Computing (HPC), GPU computing, cloud infrastructure, MLOps, and technical team management.\nThe Manager will lead the technical roadmap for AI-enabled research computing, anticipate emerging infrastructure requirements, and collaborate with faculty, researchers, academic departments, and IT leadership to develop scalable solutions supporting AI-intensive research projects.\nThis role combines technical strategy, AI infrastructure planning, research computing operations, project coordination, and people management. The successful candidate will serve as a technical leader and subject matter expert, helping advance AI and machine learning capabilities across the university's research environment.\nCandidates must be local to the Boston, MA area and available to work in a hybrid arrangement.\nKey Responsibilities\nAI Research Computing Strategy & Infrastructure\nDevelop and drive the technical roadmap for AI-enabled research computing and infrastructure.\nLead planning and capacity management for GPU computing, accelerators, and high-performance computing resources.\nEvaluate and recommend AI/ML infrastructure, containerized computing environments, and MLOps tools.\nAnticipate emerging requirements related to AI workloads, data pipelines, model training, and model-serving infrastructure.\nProvide technical guidance and expertise on AI infrastructure, research computing, and emerging AI technologies.\nCollaborate with research computing leadership to develop AI/ML strategies and infrastructure plans.\nResearch emerging technologies, industry standards, and best practices in artificial intelligence and automation.\nProject & Service Coordination\nCoordinate daily research computing projects, service requests, and incident management activities.\nMonitor service delivery, identify potential delays, and escalate critical issues to leadership.\nCoordinate cross-functional activities between research computing teams, IT infrastructure groups, and academic research departments.\nEnsure researchers receive appropriate technical resources and infrastructure support.\nProvide operational updates and reports to Research Computing leadership.\nTeam Leadership & Management\nSupervise, mentor, and develop research computing team members.\nEstablish priorities, assign workloads, and oversee daily service delivery.\nSupport employee performance management, professional development, hiring, and onboarding.\nPromote collaboration, accountability, and continuous improvement across the team.\nOperational Reporting & Business Process Analysis\nDevelop annual, monthly, and ad hoc reports on computing resources, system utilization, storage services, and infrastructure capacity.\nAnalyze operational metrics to support purchasing decisions, resource allocation, and strategic planning.\nEvaluate and improve research project workflows and service delivery processes.\nSupport research computing projects involving secure research environments and regulated data systems.\nCollaborate on chargeback models, resource utilization, and service management processes.\nTraining & Documentation\nCoordinate technical training programs for academic researchers, faculty, staff, and technical teams.\nManage synchronous and asynchronous training initiatives.\nCoordinate the development of video tutorials, technical guides, and educational materials.\nMaintain and update research computing documentation, knowledge bases, and technical resources.\nPromote knowledge sharing and effective use of research computing services.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related technical field, or equivalent professional experience.\nDemonstrated experience managing AI/ML infrastructure, research computing, high-performance computing, or related technical environments.\nStrong understanding of AI/ML infrastructure requirements, GPU computing, accelerators, and high-performance computing resources.\nExperience with containerized computing environments and AI/ML workflows.\nKnowledge of MLOps tools, machine learning infrastructure, and model deployment environments.\nExperience leading technical projects and coordinating cross-functional teams.\nPrevious experience supervising, mentoring, or managing technical professionals.\nStrong understanding of IT infrastructure, compute resources, storage systems, and research technology environments.\nExperience with operational reporting, resource utilization, and business process analysis.\nExcellent communication and stakeholder management skills.\nAbility to work with faculty, researchers, academic departments, and technical leadership.\nStrong organizational, analytical, and problem-solving skills.\nPreferred Qualifications\nExperience working in a university, academic research, or scientific computing environment.\nExperience managing High-Performance Computing (HPC) environments.\nHands-on knowledge of GPU clusters, NVIDIA GPUs, accelerators, and AI compute infrastructure.\nExperience with Kubernetes, Docker, containers, and orchestration technologies.\nFamiliarity with MLOps platforms, machine learning pipelines, and AI model-serving infrastructure.\nExperience supporting AI-intensive research projects and grant-funded research initiatives.\nKnowledge of secure research environments, regulated research systems, and research data governance.\nExperience developing technical roadmaps, infrastructure strategies, and capacity planning initiatives.\nExperience managing research computing services and technical support teams.\nTechnical Skills & Search Keywords\nAI Infrastructure | AI/ML Infrastructure | Artificial Intelligence | Machine Learning | Research Computing | High-Performance Computing (HPC) | GPU Computing | NVIDIA GPUs | GPU Clusters | Accelerated Computing | MLOps | Kubernetes | Docker | Containerization | Model Deployment | Model Serving | AI Workflows | Cloud Infrastructure | Data Pipelines | Research Data Infrastructure | Infrastructure Planning | Capacity Planning | Technical Roadmap | HPC Management | Research IT | IT Operations | Team Leadership | Project Management | Resource Utilization | Secure Research Environments\nIdeal Candidate Job Titles\nManager, AI Infrastructure\nAI Infrastructure Manager\nResearch Computing Manager\nHigh-Performance Computing (HPC) Manager\nHPC Infrastructure Manager\nAI/ML Platform Manager\nMachine Learning Infrastructure Manager\nResearch IT Manager\nDirector of Research Computing\nAI Engineering Manager\nTechnical Infrastructure Manager\nResearch Computing Technical Lead\nScientific Computing Manager\nWork Arrangement & Schedule\nHybrid work arrangement.\nMust be local to Boston, MA.\n40 hours per week.\n9-month contract.\nCollaboration with university researchers, faculty, and IT leadership.\nContract Details\nJob Title: Manager, AI & Research Computing Initiatives\nJob ID: 3743\nClient: Boston University\nLocation: Boston, MA\nDuration: 9 Months\nWork Arrangement: Hybrid - Local Boston candidates only\n Schedule: 40 Hours per Week","description_format":"text","description_chars":7702,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Professional development"],"hiring_locations":[{"name":"United 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