Artificial Intelligence

• Serve as the operational leader for NCTC’s AI COE, guiding its strategy, governance, day-to-day execution, and continued growth.
• Build and manage the AI COE operating model, including intake, prioritization, milestones, risk management, governance, and lifecycle management of member AI initiatives.
• Develop and manage a portfolio of AI use cases, evaluating opportunities based on member value, technical feasibility, strategic alignment, and return on investment.
• Establish practical AI implementation standards, best practices, reusable tools, and governance frameworks that support responsible and scalable AI adoption across NCTC’s membership.
• Coordinate cross-functional AI delivery teams, including product, data, engineering, vendors, contractors, and member stakeholders, to deliver successful outcomes.
• Define adoption metrics and dashboards that measure member engagement, platform utilization, business impact, and operational performance.
• Partner with Member Success, Product, Sales, and Marketing to increase awareness, adoption, and value realization of AI COE services.
• Evaluate emerging AI technologies, vendors, and strategic partnerships and recommend investments that strengthen the AI COE portfolio.
• Promote responsible AI practices, including appropriate attention to governance, security, privacy, compliance, and ethical use.
• Represent the AI COE in executive discussions, member advisory councils, industry events, and board presentations.
• Lead NCTC’s enterprise business intelligence and data analytics strategy to ensure the organization has trusted, useful, and actionable information to support business decisions.
• Oversee the architecture for NCTC’s core business systems, data pipelines, reporting layers, and analytics capabilities.
• Define and execute a company-wide approach for how data is curated, modeled, governed, and consumed across the organization.
• Establish data quality standards, common metric definitions, and governance practices that support reliable reporting and informed decision-making.
• Enable self-service reporting across NCTC by working with subject matter experts and business leaders to convert available datasets into decision-ready insights.
• Translate business data into reporting and analytics that improve organizational performance and support strategic priorities.
• Develop and maintain NCTC’s enterprise data and AI roadmap, aligning technology priorities with NCTC’s strategic goals, operational needs, and member experience.
• Monitor emerging technologies, automation opportunities, and industry trends to identify practical ways to improve efficiency, enhance services, and support innovation.
• Evaluate and recommend technology investments that support NCTC’s long-term strategy and the evolving needs of its members.
• Encourage a culture of experimentation, knowledge sharing, and continuous improvement across technology and data initiatives.
• Manage relationships with technology vendors, managed service providers, software vendors, cloud providers, and platform partners that support the AI COE and enterprise data initiatives.
• Support the financial and operational performance of the AI COE, including maintaining the AI COE profit and loss statement as approved by the NCTC Board of Directors.
• Optimize software licensing, infrastructure costs, and technology resources to support business priorities and responsible growth.

Executive Director – Artificial Intelligence, Enterprise Data

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures
• Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments
• Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI
• Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases
• Defines AI strategy, roadmaps, and technology standards by evaluating emerging AI/ML technologies
• Balances hands-on AI model development with cross-functional coordination

Artificial Intelligence Architect – Senior/Lead

• Design and deliver scalable AI/ML solutions addressing high-value use cases such as forecasting, optimization, predictive maintenance, and operational automation
• Identify and prioritize AI opportunities aligned with strategic business objectives and operational KPIs.
• Translate business needs into robust data models, algorithms, and technical architectures.
• Lead model lifecycle management: data exploration, site specific specialization, training, validation, and deployment.
• Embed AI solutions into business workflows (dashboards, applications, automation pipelines) to ensure adoption and sustained impact.
• Partner cross-functionally with Digital, Engineering, IT, and Operations teams to ensure seamless integration and execution.
• Establish best practices in data quality, governance, and compliance.
• Continuously monitor model performance and drive iterative improvements.
• Stay at the forefront of AI innovation, bringing emerging technologies into practical, scalable use.

Ice Cream AI Specialist / AI Expert

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Vice President, AI & Data Strategy

• Build and maintain enterprise platforms across:
• Microsoft Azure (IaaS, PaaS, AI services)
• Microsoft 365 and collaboration tools
• Enterprise AI ecosystem (Copilot, Azure OpenAI, AI development platforms)
• Implement cloud-first and AI-enabled solutions aligned to business needs
• Execute modernization initiatives (e.g., serverless deployments, infrastructure consolidation, automation)
• Configure, deploy, and maintain:
• Microsoft Copilot capabilities
• AI agents (Copilot Studio, Power Platform)
• AI-assisted development tools (e.g., GitHub Copilot)
• Enforce governance, privacy, and data protection controls within AI solutions
• Manage and operate:
• AI tool inventory and lifecycle
• Monitoring, usage analytics, and cost tracking
• Access controls, environment separation (Dev/Test/Prod), and publishing processes
• Implement and maintain controls with Security and Compliance teams for:
• Responsible AI usage
• Audit logging, monitoring, and investigation readiness
• Identify and remediate risks related to unsanctioned AI usage while driving adoption of approved tools
• Build, configure, and operate Azure environments, including:
• Networking and hybrid connectivity
• Identity and access (Entra ID, Conditional Access)
• Compute, storage, and data services
• Execute cloud migrations and workload placements
• Continuously optimize cost, performance, and platform reliability
• Develop and maintain automation (infrastructure as code, patching, deployment pipelines)
• Implement and enforce governance controls across cloud and AI platforms, including:
• Cost management and FinOps practices
• Access and configuration baselines
• Logging, monitoring, and incident response integration
• Execute threat modeling inputs and support risk assessments with cybersecurity teams
• Comply with all occupational safety and health rules and regulations approved by the local Country, State and Province, NFI Group management, the safety committee and Union partners
• Comply with all Environmental Management Systems certification and Occupational Safety and Health certification achieved by NFI Group
• Other duties as assigned.

Senior Cloud and AI Administrator

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Supports the Business Banking Sales organization by identifying, prioritizing, and implementing AI-driven solutions
• Enhances sales effectiveness, operational efficiency, and client experience
• Collaborates cross-functionally to develop, pilot, and scale AI & ML initiatives
• Monitors and measures the impact of implemented solutions
• Tracks adoption metrics and business outcomes, providing regular updates to leadership
• Prepares executive-level presentations and status updates

Business Banking Leader – AI, Process Optimization

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• Build and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills, Claude Projects, integrations, and department-specific specialists that scale AI impact across every team.
• Partner with teams across TENEX (Sales, Customer Success, Marketing, Finance, Legal, HR, Detection Engineering, Security Operations, Forward-Deployed Engineering) to surface needs that shape our internal AI platform roadmap.
• Own and execute against a published roadmap. Predictable, visible execution is a core expectation of this role.
• Maintain, expand, and refine our AI work companion based on user feedback and emerging needs.
• Build integrations between Claude and our internal tools (e.g., Ashby, Wonderlic, Fireflies, Asana, Google Chat) using webhooks, MCP connectors, and APIs. Favor reusable patterns over one-off solutions.
• Run enablement: training sessions, documentation, AMAs, and 1:1 onboarding to help every TENEX'er become more AI-native.
• Contribute to AI governance, monitoring, and security tooling decisions as TENEX scales its AI usage.

AI Enablement Engineer

• Partner with stakeholders to understand business needs, operational pain points, and workflow inefficiencies across Marketing and Communications
• Analyze current-state workflows to identify opportunities for AI-enabled process improvement, automation, and redesign
• Serve as a consultant to teams on how to evolve ways of working through AI, agents, and automation
• Facilitate discussions that clarify problems, desired outcomes, and opportunities for workflow transformation
• Translate business needs into clear use cases, workflow requirements, acceptance criteria, and success metrics
• Assess solution feasibility, expected value, scalability, effort, and risk
• Prioritize opportunities in alignment with team needs, business impact, and the broader AI strategy
• Help manage a pipeline of solution opportunities from intake through recommendation and delivery
• Design, build, test, and deploy AI-enabled solutions including agents, automations, workflow improvements, and supporting tools
• Own implementation for assigned solutions, coordinating requirements, testing, stakeholder input, and rollout
• Iterate on solutions based on performance, feedback, and evolving business needs
• Maintain and enhance deployed tools and workflows to improve effectiveness and adoption over time
• Ensure solutions align with enterprise policies, governance requirements, and responsible AI practices
• Support teams in adopting redesigned workflows and integrating AI-enabled solutions into day-to-day operations
• Monitor usage, outcomes, and performance to identify gaps and opportunities for refinement
• Document reusable patterns, use cases, and recommendations that can be scaled across the function

Business Communications Advisor – AI Workflow and Solutions

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

VP of AI, ML and Data Strategy

• Lead a team responsible for identifying, designing, and executing AI and automation solutions
• Lead a team of approximately 10 automation professionals
• Ensure high-quality delivery and effective support for internal stakeholders
• Oversee identification and definition of AI and automation solutions aligned to business strategy
• Review and guide design recommendations
• Provide hands-on design direction for complex initiatives
• Partner with delivery, engineering, and architecture teams
• Serve as a senior liaison between business leaders and technical teams
• Guide evaluation of emerging AI and automation technologies

Operations Manager – AI & Automation Design

• Own the HBS AI Champion Pilot Program and the Microsoft 365 Copilot Cowork Program rollout end-to-end.
• Deliver role-based enablement and career-development upskilling for Microsoft 365 Copilot, Microsoft Copilot Cowork, and Claude agents through training sessions, certifications, prompt clinics, peer coaching, and ongoing reinforcement.
• Recruit and support each Champion cohort in partnership with department leaders: produce the Champion Commitment Guide and Manager Fact Sheet, coach champions through 1:1 sessions and group office hours, and run structured peer-coaching sessions with their teammates.
• Drive cross-department engagement through use-case challenges and visible recognition.
• Track adoption analytics (daily active users, license utilization, prompt library usage, certification completions) and publish a monthly one-page dashboard against documented baselines.
• Capture candid pilot feedback from Cowork participants and synthesize it into actionable adoption, governance, and product insights for the Director of AI and the Executive Leadership.
• Curate and version-control role-based prompt libraries, custom Cowork skills, and agent templates; maintain a searchable internal knowledge base of resolved issues, prompt patterns, and best practices; embed Microsoft 365 Copilot learning paths and Copilot Cowork modules into the HBS internal training site.
• Act as the strategic bridge between business stakeholders and the technical AI delivery team by contributing business context, prompt design input, and adoption-readiness review on custom solution work, and pilot new Microsoft and Claude AI capabilities internally before they reach client engagements.
• Operate the AI Helpdesk tier-1 and tier-2 queue, contribute to the refinement of internal AI delivery methods and certification curricula, and apply the AI Use Policy in daily work while flagging exceptions to the Director of AI.

AI Enablement Specialist

• Define and own the AI product strategy, outcomes, and end‑state vision, aligning WIM AI initiatives to enterprise priorities and measurable business value.
• Lead end‑to‑end product management for complex, enterprise‑grade AI platforms, solutions, and capabilities, ensuring scalability, governance, and operational readiness.
• Partner closely with the WIM Head of AI & Digital Asset Platforms to shape AI roadmaps, investment decisions, prioritization, and product tradeoffs.
• Translate business problems into prioritized AI use cases, value cases, and delivery plans across advisor, client, and operations domains.
• Drive cross‑product AI portfolio management, identifying dependencies, synergies, and risks across platforms, workflows, and distribution channels.
• Guide long‑term AI solution delivery, accounting for regulatory requirements, responsible AI principles, data dependencies, and enterprise technology constraints.
• Articulate AI product vision and roadmap; define scope; prioritize backlogs; and support platform evolution, model deployment, and workflow integration.
• Own key business, adoption, operational, and risk metrics, embedding governance, controls, and compliance requirements throughout the AI product lifecycle.
• Engage and align cross‑functional teams and external partners, including Product Owners, Engineering, Data, Risk, Compliance, Legal, Operations, and vendors.
• Serve as a trusted advisor to senior leadership, translating complex AI, regulatory, and market considerations into clear product direction and execution plans.

Executive Director – Artificial Intelligence, AI

• Build, test, and deploy automation, monitoring, and analysis solutions for agent workflows
• Support deployment and scaling of automated agent-based solutions across development and production environments
• Investigate technical, operational, and reliability issues during development and implementation
• Build and integrate software tools that improve system reliability, observability, and scalability
• Support setup of development and production environments, including deployment-related activities
• Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
• Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
• Create and recommend process improvements that increase stability, efficiency, and operational readiness
• Contribute to the ongoing improvement of operational processes for automated agent workflows

Senior Artificial Intelligence Operations Specialist

• Ensure that all transactions are processed accurately, timely, and completed in their entirety
• Participate in projects/project teams and client conversions
• Test new systems and programs to improve efficiency and effectiveness
• Perform comprehensive review of all investor documents to ensure accuracy
• Input investor information into database ensuring 100% accuracy
• Review the work of others specialists and provide constructive feedback
• Assist with writing and updating procedures

Artificial Intelligence jobs in Montana

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Executive Director – Artificial Intelligence, Enterprise Data

AI Integration Specialist

Artificial Intelligence Architect – Senior/Lead

Ice Cream AI Specialist / AI Expert

Vice President, AI & Data Strategy

Senior Cloud and AI Administrator

VP, Enterprise AI Enablement

Business Banking Leader – AI, Process Optimization

Vice President, AI & Data Strategy

AI Enablement Engineer

Business Communications Advisor – AI Workflow and Solutions

VP of AI, ML and Data Strategy

Operations Manager – AI & Automation Design

AI Enablement Specialist

Executive Director – Artificial Intelligence, AI

Senior Artificial Intelligence Operations Specialist

Operations Specialist I – AI