Artificial Intelligence

• Lead enterprise-wide data and AI governance strategy, roadmap, and accountability structures to align initiatives with clinical, financial, and operational priorities while ensuring compliant, ethical, and high-quality use of data and artificial intelligence.
• Identify, evaluate, and prioritize AI use cases across the Epic (clinical and revenue cycle), Workday (HR and finance), Microsoft 365/Azure (productivity and data) ecosystems, and other AI solutions.
• Lead evaluation and deployment of native AI capabilities within core platforms, including Epic’s AI/ambient documentation tools, Workday AI-driven HR/talent features, and Microsoft Copilot and Azure AI services.
• Guides enterprise change management and data literacy initiatives to drive adoption of governance practices and responsible AI usage across the organization.
• Establish AI governance, including a responsible-AI framework, model risk review, data privacy and HIPAA compliance safeguards, and vendor due diligence processes.
• Partner with leadership team on key initiatives to drive the business strategies across all functional areas of the organization identifying AI-enabled solutions with clear ROI.
• Form relationships with Epic, Workday, Microsoft, and third-party AI vendors, including participation in user groups, roadmap reviews, and contract/licensing decisions.
• Oversee pilot programs and change management for AI tools, ensuring clinician and staff adoption, training, and measurable outcomes.
• Build, mentor, and lead a team of AI/analytics professionals; coordinate matrixed work with application analysts, data/BI, security, and compliance teams.
• Monitor the regulatory and competitive landscape for healthcare AI, ensuring OrthoVirginia’s approach remains compliant and current.
• Maintain a broader innovation pipeline — scouting emerging technologies and process innovations beyond AI that improve clinical or operational performance — and recommend which to pursue, pilot, or shelve.
• Report AI and innovation program progress, risks, and outcomes to executive leadership as needed.

Director, AI and Innovation

• Facilitate development of AI strategies and roadmaps aligned to agency mission, priorities, and operational realities
• Advise leadership on AI investment planning, use case prioritization, and value realization
• Lead stakeholder engagements to assess organizational readiness, data maturity, and change considerations
• Translate complex AI concepts into clear, actionable recommendations for business and non-technical audiences
• Identify and define high-impact AI use cases across programs, operations, and service delivery
• Support evaluation and selection of AI technologies and solutions, including vendor and platform considerations
• Develop frameworks for responsible AI adoption, including governance, risk, and oversight
• Facilitate workshops and working sessions to build alignment across business, IT, and data teams
• Support early-stage implementation planning, including operating model, workforce impacts, and adoption strategy

Senior Consultant – AI Strategist

• 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

• Develop and deliver a prioritized, actionable strategy for FS-ISAC’s AI-related efforts internally and externally.
• Lead and facilitate the organization’s AI-focused communities of interest, driving collaboration, knowledge sharing, and strategic engagement related to artificial intelligence risk, secure AI adoption, preparing for and leveraging AI, including frontier AI models.
• Monitor and analyze emerging developments in artificial intelligence, adversarial AI, AI regulation, AI security risks to inform community priorities, member discussions, and thought leadership activities.
• Represent FS-ISAC in key industry forums with public and private sector partners.
• Convene global members, regulators, and partners to drive collaboration and intelligence sharing.
• Actively leverage AI technologies to enhance community engagement, member communications, research development, content creation, operational efficiency, intelligence synthesis, and strategic collaboration initiatives.
• Deliver high-value outputs such as frameworks, best practices, and risk guidance.
• Ensure sustained engagement and measurable member value.
• Establish KPIs and success metrics for AI initiatives and communities.
• Manage cross-functional delivery, timelines, and resources.
• Ensure high-quality execution of meetings, briefings, publications, and global events.
• Provide strategic insights, briefings, and recommendations to executive leadership, including contributions to CEO-level priorities.
• Represent FS-ISAC in global forums, working groups, and industry initiatives.
• Engage with regulators, standard-setting bodies, and peer organizations to align on AI and emerging technology risk approaches.
• Support the CSO in the development of internal AI policies, governance frameworks, and risk management practices.
• Partner with team members across FS-ISAC to understand and identify opportunities to leverage AI in support of FS-ISAC’s strategy.

AI Director

• 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

• Translate enterprise technology and business strategies into an actionable portfolio
• Establish execution patterns for AI and automation programs
• Build and run an enterprise operating model that balances execution discipline with agility
• Build executive-grade dashboards and performance views
• Ensure clear adoption ownership and business outcomes for major initiatives
• Lead, coach, and grow SPO leaders, PMs, and execution leads

Staff Vice President – Enterprise Technology Transformation, AI Execution

• 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

• Collaborate with the executive leadership team to define the company's CX AI vision, strategy, and goals for contact center transformation
• Drive growth by identifying emerging trends, market opportunities, and industry best practices in contact center innovation
• Lead the planning, development, and execution of the CX AI strategic roadmap, including new innovative offerings in the AI space for contact centers
• Oversee the development and leadership of comprehensive CX AI offerings, including Assistive CX, Agentic CX, Conversation Agents, CX Insights & Intelligence, CCaaS platforms (including Genesys, Five9, AWS Connect, and Google), CRM (Salesforce and Zendesk), workforce management, agent quality management, and technology partnerships (Cresta and ElevenLabs)
• Assume overall accountability for the financial performance of the CX AI practice
• Partner with Business Development, Digital Solutions leaders, and CXM account and operations leaders to grow and transform managed accounts in the BPO business
• In partnership with Business Development, develop and implement effective revenue generation strategies to meet or exceed annual revenue targets for digital contact center solutions
• Monitor financial performance, identify areas for improvement, and implement corrective actions as necessary
• Build and lead high-performing teams across technologies and capabilities
• Foster a culture of excellence, innovation, collaboration, and continuous learning within the CX AI teams globally
• Drive the development and integration of innovative AI-powered solutions and offerings for contact center CX optimization
• Partner with TELUS clients and TELUS Digital stakeholders to drive digital transformation within TELUS-owned CX operations
• Partner with clients to identify their contact center challenges and design tailored digital solutions
• Oversee the delivery of high-quality CX AI implementations and strategic recommendations
• Provide thought leadership and build trusted advisor relationships with key client stakeholders
• Drive the adoption and integration of modern CX platforms and technologies

Managing Director, CX AI Delivery

• develop AI agents that perform real actions for companies
• design Agent Intelligence with AI/LLM technologies
• support the entire Technical Lifecycle, collaborating with Builders
• drive strategic impact by partnering with clients
• iterate and deploy solutions, taking ownership from day one

AI Builder

• Lead, coach, and grow teams of customer-focused data scientists.
• Build and staff a portfolio of high-impact AI projects that deliver clear value for the company
• Envision, drive, and deliver innovative AI-based models and products that drive significant improvements in revenue, profitability, and operating costs.
• Build effective partnerships with technical and product leaders and business stakeholders.
• Partner closely with Product Management, Technical Program Managers, Architects, HP product groups, and experts to envision, drive, and deliver innovative, compelling, and quality solutions at speed and scale.
• Evangelize and teach AI concepts and best practices to business teams across HP

Director of AI

• Lead, coach, and grow teams of customer-focused data scientists.
• Build and staff a portfolio of high-impact AI projects that deliver clear value for the company.
• Envision, drive, and deliver innovative AI-based models and products that drive significant improvements in revenue, profitability, and operating costs.
• Build effective partnerships with technical and product leaders and business stakeholders.
• Partner closely with Product Management, Technical Program Managers, Architects, HP product groups, and experts to envision, drive, and deliver innovative, compelling, and quality solutions at speed and scale.
• Evangelize and teach AI concepts and best practices to business teams across HP

• develop AI agents that perform real actions for major companies
• design agent intelligence, including prompts and reasoning
• support the technical lifecycle through collaboration with other builders
• partner with clients to convert business challenges into solutions
• own and iterate projects from day one

AI Builder, Emerging Talent

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Vice President, AI & Data Strategy

• Provide strategic leadership and hands-on oversight of SDFCU’s AI and machine learning initiatives
• Develop and execute an AI strategy that enhances the member experience, improves operational efficiency, and manages risk
• Partner with business units to identify, prioritize, and deploy AI-driven solutions
• Oversee the design, development, testing, and deployment of AI and machine learning models
• Lead initiatives such as intelligent automation, predictive analytics, fraud detection, and personalization engines
• Establish a scalable AI infrastructure
• Evaluate and manage relationships with third-party AI vendors and fintech partners
• Ensure AI solutions integrate effectively with core banking systems
• Ensure compliance with applicable regulations

Director of AI Strategy

• Support the enterprise Authorized Provisioning Point / Authorized Data Source program within the AI & Data Organization
• Support the definition of a data domain based model, partner with stakeholders across architecture, technology delivery, and the LOB to define strategies and implementation roadmaps to bring the program into reality
• Support program execution and asset certification
• Draft and maintain corresponding policies, frameworks, standards, and procedures
• Support data-products strategy and intersection with enterprise ontologies
• Support the definition and implementation of an operating model to cover data asset ownership and data stewardship
• Support the implementation of core data management and governance capabilities against identified data assets
• Develop and maintain policies, standards and technology in support of enterprise Data Governance
• Create and implement processes and procedures to support data standards and control frameworks
• Provide subject matter expertise in the planning and execution of data management activities such as data sourcing, metadata management, data quality, data privacy or records management
• Drive solution design and execution of multi-pronged data governance efforts that span across platforms and business/technology areas to address enterprise data needs
• Implement strategic data governance capabilities by working with business and technology partners to document requirements and create action plans
• Perform oversight and inspection of critical data management practices for adherence to established data policies and control frameworks
• Identify data issues and work with technology, risk and business partners to triage, track, communicate, mitigate and remediate the issues to closure
• Support the production of metrics and measures to track progress and adherence, escalating as needed to various committees for visibility and program accountability
• Understand and integrate relevant regulations and industry trends into work plans, exploring emerging frameworks and assessing feasibility using proof of concepts
• Collaborate closely with peer teams to ensure coordination, synergy and seamless overall execution
• Champion and drive improvement in enterprise data management practices throughout the organization

AI & Data Consultant – Data Governance, Authorized Provisioning Point

• 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

• Lead the enterprise AI activation and transformation function, including building and guiding a team responsible for AI strategy, enablement, and execution.
• Establish a long-term vision that balances innovation with responsible adoption.
• Translate enterprise priorities into a clear, actionable AI strategy.
• Identify opportunities to re-engineer business processes using AI, from problem identification through implementation and value realization.
• Balance near-term productivity gains with longer-term innovation efforts across a diversified AI portfolio.
• Lead BECU’s internal AI innovation incubator that operates as an internal VC fund, identifying internal opportunities to drive change, funding them, and tracking them as part of the broader AI portfolio.
• Oversee AI governance, including policies, standards and decision frameworks that enable responsible and scalable adoption.
• Partner with leaders across business, technology, and operations to embed AI into real workflows.
• Establish and evolve enterprise AI governance, including policies, standards, and decision frameworks that ensure ethical, compliant, and scalable AI adoption.
• Build organizational capability through education, coaching, and enablement—helping employees develop confidence and fluency in AI tools.
• Influence senior leaders and manage cross-functional partnerships, ensuring alignment with regulatory expectations, risk tolerance, and member trust.

VP, AI Transformation

• Work with stakeholders to understand business processes, gather requirements, identify operational pain points, and evaluate opportunities for AI adoption.
• Design, test, refine, and document reusable prompts and prompt workflows for approved large language model platforms.
• Develop and support AI-enabled workflows that improve operational efficiency and automate manual processes.
• Support demonstrations, training sessions, and user adoption activities that help stakeholders effectively leverage AI capabilities.
• Use approved AI platforms to assist stakeholders with research, summarization, reporting, analysis, and development of decision-support content.
• Evaluate and validate AI-generated outputs to ensure accuracy, reliability, and alignment with mission requirements.
• Research emerging AI capabilities and identify practical use cases that support mission objectives.
• Support rapid prototyping, testing, implementation, and continuous improvement of AI solutions.
• Document AI use cases, workflows, findings, lessons learned, and recommendations.
• Collaborate with technical teams to support deployment and integration efforts.
• Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed.

Junior AI Prompt Engineer

• Own end-to-end delivery for multiple enterprise customer engagements
• Partner with customers' C-level executives on AI strategy and transformation
• Lead one or more concurrent implementations, ensuring projects are delivered within budget and timeline outlined
• Manage timelines, risks, and cross-functional coordination for smooth delivery

Engagement Manager, AI Practice

• Identify, evaluate, and implement AI-driven solutions that improve operational efficiency, productivity, and business outcomes.
• Design and optimize workflows that incorporate generative AI, machine learning, automation, and intelligent knowledge retrieval.
• Lead continuous improvement initiatives across operational functions, leveraging AI technologies to reduce manual effort and increase scalability.
• Monitor emerging AI technologies and recommend practical applications aligned with organizational goals.
• Drive adoption of new Salesforce capabilities (Agentforce, Tableau, Data Cloud) within operations workflows.
• Support and enhance systems, tools, and processes used for bid management, proposal development, framework management, and contract-related operations.
• Manage and improve knowledge repositories, content libraries, and structured information sources used across operational functions.

Artificial Intelligence jobs in Virginia

See all jobs on JobTailor

Director, AI and Innovation

Senior Consultant – AI Strategist

AI Integration Specialist

AI Director

Artificial Intelligence Architect – Senior/Lead

Staff Vice President – Enterprise Technology Transformation, AI Execution

Manager, AI Agents and Automation

Managing Director, CX AI Delivery

AI Builder

Director of AI

Director of AI

AI Builder, Emerging Talent

Vice President, AI & Data Strategy

Director of AI Strategy

AI & Data Consultant – Data Governance, Authorized Provisioning Point

VP, Enterprise AI Enablement

VP, AI Transformation

Junior AI Prompt Engineer

Engagement Manager, AI Practice

AI Operations Engineer