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

• Oversee, influence, and drive execution of large-scale strategic initiatives across Veralto’s Operating Companies
• Build PMO, governance, structure and frameworks that ensure programs are delivered on time, on budget, and aligned to business objectives
• Support the development of scalable, organization-wide frameworks and delivery models for AI, data, and emerging technology initiatives that drive value and positively impact P&L
• Partner with operating company leadership to oversee execution of enterprise-wide strategic initiatives and transformation programs
• Ensure programs remain on track across scope, timeline, budget, risks, and business outcomes
• Establish governance structures, reporting cadences, and escalation mechanisms
• Drive cross-functional alignment across business, IT, operations, and external partners
• Partner with consulting firms, SIs, and service providers supporting enterprise initiatives
• Support executive review of partner performance and delivery effectiveness
• Help catalog and organize enterprise efforts to reduce duplication and identify scalable opportunities
• Develop executive-level reporting, dashboards, and strategic updates

Director, Enterprise Strategic Programs – ERP, PMO, AI

• Responsible for the management of a team of direct account Hyperspecialist architecture sellers.
• Accountable for team performance, sales growth and portfolio profitability.
• Collaborate with customers, partners, and industry solution providers.
• Serve as the Account Orchestrator, aligning and integrating solutions with customer needs.
• Reviews business plans, strategy, and forecasting data and presents to senior leadership.
• Direct resource utilization in accordance with strategic sales priorities.

Lead AI Hyperspecialist Sales

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Reimagine Credit Strategy Through Automation
• Deconstruct and redesign credit underwriting processes
• Identify opportunities where AI and machine learning can enhance credit decisions
• Partner with IT and business teams to translate credit requirements into technical specifications
• Build compelling business cases for technology investments
• Design sophisticated workflow automation
• Leverage FNBO's AI toolkit to prototype, test, and scale solutions rapidly
• Present recommendations to C-level executives with clarity and confidence
• Drive change management efforts
• Stay ahead of emerging AI capabilities and credit technology trends

Credit Risk AI Enablement

• Work with Autodesk’s largest customers to define innovative Building design, engineering, and management strategies and solutions to ensure the greatest possible value from their Autodesk investment
• Work with Autodesk account teams to define Customer Success Plans and customer engagements to deliver those strategies and solutions
• Work with the Autodesk Consulting Project Management team to ensure exceptional delivery against the Customer Success Plan
• Shape the Autodesk Consulting service offering and how it is delivered
• Interface with thought leaders within Autodesk, and beyond, to support and shape the Autodesk product offering
• Be a trusted business partner to customers and internal Autodesk teams
• Develop and deliver truly innovative business and technology solutions that have a strategic impact on Autodesk customers
• Help Autodesk customers drive transformational change by leveraging proven change management methodologies
• Lead facilitated workshops with Autodesk customers to identify solution opportunities and drive alignment on solution paths
• Lead or assist in the creation of high-quality design, engineering, and operational management deliverables for customers
• Define and track the value of solutions delivered to customers, and help document the impact of customer investment in Autodesk Consulting
• Lead and/or participate in the development around new and expanded offerings as part of a comprehensive consulting delivery portfolio
• Build the Autodesk Consulting brand by demonstrating thought leadership within the industry
• Lead project delivery efforts, ensuring team members perform to the highest level of quality and professionalism
• Mentor junior staff in successful customer engagement techniques including change management, strategic and critical thinking, workshop facilitation, and effective communication
• Advise on project estimation and participate in business development activities

Principal Business Consultant, Buildings – Data / AI Strategy and Readiness

• Lead, mentor, and scale a high-caliber team of AI-native graduates.
• Act as a direct people manager for a cohort of Emerging Talent AI Builders.
• Help AI natives pivot from experimental projects to deploying production-grade enterprise software.
• Teach technical grads how to translate tech into business value.
• Establish a vibrant, inclusive atmosphere.
• Guide graduates through the design of agentic reasoning, prompt engineering, and tool calls.
• Support Graduates in building scalable and secure agentic solutions.
• Foster an active, experimental lab culture where rapid experimentation is celebrated.
• Oversee the pipeline of customer work and strategically pair Grads with projects.

AI Builder, Emerging Talent Manager

• Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
• Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
• Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
• Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
• Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
• Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
• Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
• Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
• Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
• Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Senior AI Modeling Specialist

• 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

• Partner with business stakeholders to understand workflows, challenges, and priorities
• Identify repetitive, manual, and time-consuming tasks suitable for automation
• Document current processes and recommend AI-driven improvements
• Help prioritize projects based on business impact and implementation effort
• Document current-state workflows, identify root causes of inefficiency, and recommend automation opportunities based on business value and implementation complexity
• Build and deploy AI-powered workflows using modern AI platforms and tools
• Develop prompts, automations, agents, and integrations that streamline work
• Create prototypes and proof-of-concepts to test new ideas quickly
• Act as an internal advocate for AI innovation and continuous improvement
• Track project outcomes, productivity gains, and time savings

AI Automation Associate

• Review AI-generated analyses, recommendations, and compensation-related outputs
• Evaluate responses for accuracy, completeness, consistency, and business relevance
• Identify errors, gaps, unsupported conclusions, or areas for improvement
• Provide clear, actionable written feedback to help improve AI performance
• Apply compensation best practices and professional judgment when assessing outputs
• Follow evaluation guidelines and scoring frameworks
• Document findings with a high degree of attention to detail
• Collaborate with project leads to refine evaluation methodologies

Compensation AI Evaluation Specialist – Part-Time

• Work remotely with individuals and families to help identify life insurance and annuity solutions that fit their needs.
• Educate clients on financial protection options in a clear, ethical, and professional way.
• Build and manage your own pipeline through referrals, marketing, networking, and follow-up.
• Attend virtual training, mentorship, and team development sessions.
• Grow a personal book of business while building long-term client relationships.

Sales AI

• You are the accountable technical lead for embedded AI/ML from architecture and model development through deployment and operational validation
• Define and execute the technical roadmap
• Identify, architect and fine tune embedded ML models optimized for the compute environment, balancing inference performance against strict SWaP-C (size, weight, power, and cost) constraints
• Own the full ML lifecycle including data collection and pipeline development, model architecture, training, compression and quantization, hardware-aware optimization, and on-target validation
• Integrate AI/ML models directly into the flight software stack, ensuring real-time performance, deterministic behavior, and compliance with safety and reliability requirements
• Drive cross-functional technical alignment with FSW, avionics, ground systems, GN&C, and systems engineering, translating autonomous operations requirements into deployable, validated AI capabilities
• Champion V&V and assurance practices for AI/ML in mission-critical, high-consequence space systems including uncertainty quantification, fault detection and isolation, runtime assurance, and adversarial robustness testing
• Serve as the technical authority and force multiplier across the broader AI, FSW & Autonomy team, setting the bar, unblocking peers, and accelerating delivery through influence and expertise
• Represent Blue National Security's AI/ML capability to government customers, program offices, and external partners

Principal AI/ML Autonomy Engineer

• Own client relationships independently, serving as a trusted advisor to C-suite executives on AI strategy, governance, and implementation.
• Represent EisnerAmper on AI Advisory in executive rooms, confidently navigating conversations that span AI risk and policy through capability building and adoption.
• Build and maintain relationships with boards, executive teams, and key stakeholders across client organizations.
• Drive revenue growth through new client acquisition and expansion of existing relationships.
• Identify opportunities within EisnerAmper's existing client base and collaborate with partners across service lines to deliver AI Advisory services.
• Develop proposals, lead pitch presentations, and close engagements independently.
• Lead complex AI advisory engagements spanning governance frameworks, strategy development, implementation planning, and organizational change.
• Ensure successful delivery outcomes, managing scope, timelines, and client expectations.
• Collaborate with internal teams and external resources to assemble the right expertise for each engagement.
• Contribute to the strategic direction of the AI Advisory practice, including service development, market positioning, and thought leadership.

AI Advisory Director

• Partner with leaders across departments to identify, prioritize, and implement high-impact AI use cases that improve business outcomes.
• Build, test, and deploy AI-powered workflows, automations, agents, and productivity solutions using modern AI tools and platforms.
• Evaluate existing processes and redesign workflows to improve efficiency, scalability, and employee experience.
• Establish and maintain AI best practices, governance guidelines, and adoption frameworks that support responsible and effective use of AI across the organization.
• Create and deliver training programs, workshops, documentation, and enablement resources to increase AI literacy and adoption.
• Coach teams to build and maintain their own AI-enabled workflows, creating sustainable capabilities across the business.
• Measure and communicate the impact of AI initiatives through productivity gains, cycle-time reductions, cost savings, and other business metrics.
• Partner with employees and leaders to drive change management efforts, build trust, and encourage thoughtful experimentation with AI.
• Identify opportunities to scale successful use cases across multiple functions and share best practices throughout the organization.
• Serve as BillingPlatform's internal "Customer Zero," helping ensure the company leverages AI internally in ways that align with and strengthen its product vision.
• Collaborate with Product, Engineering, and business leaders to share insights and feedback that inform future AI capabilities and investments.
• Stay current on emerging AI technologies, trends, and tools, and recommend practical applications that create measurable value for the business.

Senior Manager, AI Transformation and Enablement

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Design and deliver end-to-end analytics solutions across key HR domains including hiring, performance management, and engagement
• Translate ambiguous business questions into structured data problems and actionable insights
• Build and maintain scalable datasets, dashboards, and metrics frameworks to support leadership decision-making
• Partner with HR, Finance, and business leaders to drive data-informed workforce strategies
• Lead the development of AI-enabled solutions such as copilots, chatbots, and agent-based workflows to scale HR support and impact
• Partner with Technology and data teams to ensure AI solutions are secure, scalable, and integrated with existing systems
• Explore and evaluate emerging AI technologies and tools to improve operational efficiency and enhance employee and HR experiences
• Write and optimize SQL queries to extract, transform, and analyze data from systems such as Snowflake, Workday, and related platforms
• Build and maintain data pipelines and data models to ensure reliable, high-quality datasets
• Integrate data across Workday, recruiting, engagement, and related platforms to create a trusted source of workforce data
• Act as a strategic advisor to HR and business leaders by providing insights and recommendations backed by data
• Communicate findings and recommendations effectively to both technical and non-technical audiences, including executive leadership
• Proactively identify opportunities to improve processes, reduce manual work, and increase self-service capabilities

Manager, People Analytics – AI

• Design, build, and refine AI-powered workflows that support research synthesis, deliverable drafting, proposal coordination, market analysis, and knowledge management.
• Develop and maintain a library of prompt templates calibrated to GEN Advisory’s specific work.
• Manage the practice’s AI knowledge base: organize past project materials, methodologies, and reference content so they are accessible to AI platforms as context for future work.
• Identify bottlenecks in current workflows where AI assistance would have the highest impact; prototype solutions and bring them to the team for feedback.
• Apply AI tools to operations functions: utilization tracking, assignment pipeline reporting, revenue data synthesis, and team reporting, working in coordination with the Director of Operations.
• Conduct market research, demographic analysis, and comparable transaction research to support active client engagements.
• Assist with financial modeling, development pro formas, lease comparisons, portfolio cost analyses, all under direction of senior advisors.

AI Analyst – Government, Education, Non-Profit Advisory

• Serve as a main technical voice for your account team
• Build deep, trusted relationships with C-suite and technical stakeholders
• Demonstrate how Salesforce's capabilities complement OpenAI's models
• Take ambiguous business problems and apply AI-first mindset
• Guide customers through solution evaluation and analysis
• Conduct deep-dive discovery with engineering, IT, and business teams
• Design and deliver compelling product demonstrations
• Orchestrate cross-functional solution teams
• Maintain understanding of the current AI competitive landscape
• Act as a feedback loop between OpenAI and Salesforce’s Product organization

Artificial Intelligence jobs in Colorado

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Executive Director – Artificial Intelligence, Enterprise Data

Director, Enterprise Strategic Programs – ERP, PMO, AI

Lead AI Hyperspecialist Sales

Manager, AI Agents and Automation

Credit Risk AI Enablement

Principal Business Consultant, Buildings – Data / AI Strategy and Readiness

AI Builder, Emerging Talent Manager

Senior AI Modeling Specialist

VP, Enterprise AI Enablement

AI Automation Associate

Compensation AI Evaluation Specialist – Part-Time

Sales AI

Principal AI/ML Autonomy Engineer

AI Advisory Director

Principal AI/ML Autonomy Engineer

Senior Manager, AI Transformation and Enablement

AI Engagement Manager

Manager, People Analytics – AI

AI Analyst – Government, Education, Non-Profit Advisory

Lead Account SE, Strategic AI