Artificial Intelligence

• Own operational oversight, quality standards, and escalation management for AI-enabled member service processes
• Lead complex issue triage, root cause analysis, and corrective action planning
• Define and maintain operational validation standards, sampling approaches, and quality measures
• Lead requirements definition, prioritization, and validation for enhancements and releases
• Drive user acceptance testing, operational readiness reviews, and post-release validation
• Define, monitor, and communicate key performance indicators and operational insights to leadership
• Serve as the primary operational liaison across Operations, Quality, IT, Analytics, and vendor partners
• Mentor analysts and establish repeatable standards, documentation practices, and best practices

Senior Operations AI Analyst

• 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

• 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

• 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

• 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

• Design, build, and operationalize AI‑enabled workflows to improve efficiency, scalability, and outcomes
• Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA
• Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs
• Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms
• Present workflow solutions to stakeholders and lead training sessions
• Establish telemetry for performance, drift, and cost
• Troubleshoot issues and identify opportunities to improve workflow efficiency and additional automation

Senior AI Workflow Engineer

• Enterprise Process Discovery & Opportunity Assessment
• Lead discovery sessions with business leaders and SMEs to map current processes, uncover inefficiencies, and identify high impact automation opportunities.
• Use structured interviews, system data, and workflow analysis to size opportunities and align on measurable outcomes.
• Translate business needs into clear, actionable automation requirements.
• Automation Workflow Design & Enablement
• Architect and develop end to end automated workflows that streamline operations across multiple business domains.
• Integrate with internal systems and external platforms while following governance, privacy protections, and healthcare compliance requirements.
• Build solutions that balance reliability, scalability, and usability—favoring practical automation patterns over highly complex AI architectures.
• Maintain documentation, operational guidance, and change control processes for all deployed workflows.
• Business Partnership, Communication & Stakeholder Education
• Serve as a trusted advisor to functional and executive or division leaders, guiding them through automation strategy, prioritization, and value definition.
• Communicate solutions in accessible language that supports informed decision making across technical and nontechnical audiences.
• Lead training, demos, and hands on sessions to enable adoption, build confidence, and ensure long term ownership by business teams.
• Change Leadership & Adoption Management
• Champion a culture of responsible automation by addressing concerns, building trust, and shaping readiness across teams.
• Create and promote internal playbooks, best practices, and frameworks that support consistent automation development across the enterprise.
• Partner with operational, compliance, and security teams to ensure solutions meet payer industry requirements and align to enterprise guardrails.
• Governance, Standards & Influence
• Establish enterprise automation standards, design patterns, and guidance to ensure consistent quality and responsible use.
• Influence enterprise strategy by evaluating tools, platforms, and capabilities needed to sustain long term automation growth.
• Provide strategic insight to leadership based on cross functional trends, recurring challenges, and emerging opportunities.

Principal AI Workflow Engineer

• Lead the development and execution of the Tech+Talent 2026 marketing strategy to achieve key business objectives.
• Utilize market research to identify trends, customer needs, and insights that shape and inform our marketing tactics.
• Design and implement innovative marketing campaigns tailored to targeted customer segments, ensuring alignment with strategic goals.
• Develop clear and compelling solution positioning and messaging that differentiates Axiom's offerings with a specific focus on Axiom’s AI capabilities.
• Collaborate with strategy, technology, and commercial teams to convert capabilities into customer-centric benefits and articulate these in marketing collateral.
• Create engaging sales enablement materials, including solution briefs, presentations, and case studies to support sales efforts.
• Drive the execution of our marketing plan for new solution launches, ensuring seamless integration across multiple digital channels.
• Coordinate with marketing communications to deploy campaigns that drive brand awareness and increase demand generation.
• Analyze marketing campaign performance and leverage data-driven insights to refine and optimize strategies continuously.
• Work closely with sales teams to capture customer insights and refine solution selling approaches.
• Engage with strategy teams to deliver market feedback that guides prioritization of initiatives.
• Collaborate with commercial teams to harness customer experiences in marketing narratives and success stories.
• Maintain detailed project plans, timelines, and documentation for marketing initiatives.
• Identify and mitigate potential risks to ensure successful program delivery.

Senior Manager, AI Solution Marketing

• Define and evolve reference architectures for AI, machine learning, and generative AI systems
• Establish technical standards, patterns, and best practices for scalable and secure AI development
• Guide platform decisions across data, model development, and deployment infrastructure
• Evaluate and recommend tools, frameworks, and vendors aligned with long term architectural direction
• Design and implement end to end AI workflows for complex data interpretation, knowledge extraction, and reasoning
• Build systems that convert unstructured content into structured representations
• Develop and optimize retrieval approaches that combine semantic and lexical search techniques
• Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases
• Partner with engineering teams to develop technology infrastructure
• Optimize systems for latency, cost, and throughput
• Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions
• Apply techniques to improve consistency, accuracy, and trustworthiness of outputs
• Implement methods for scoring, explainability, and ongoing quality assurance
• Monitor deployed solutions and data pipelines for performance, stability, and data quality over time
• Incorporate responsible AI practices including transparency, bias mitigation, and risk controls
• Work closely with cross functional team to align data science initiatives with business priorities
• Partner with leadership to identify and prioritize high impact opportunities for data science applications
• Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

AI Architect

• Serve as a strategic advisor across The Cigna Group senior clinical and business leadership, translating enterprise and organizational priorities into actionable strategies.
• Identify emerging trends in clinical care integrating AI, digital health, and other emerging technologies to inform business planning.
• Engage external industry leaders, prospective partners, and other thought partners for strategy development and benchmarking.
• Partner with business units, finance, and other operating partners to create and validate business cases, along with KPIs/success metrics.
• Create and iterate on high-impact presentations, analyses, and briefing documents for C‑suite and enterprise committees.
• Act as a catalyst for change, positioning The Cigna Group clinical team as a strategic growth engine within the broader enterprise.
• Support the program design and refinement of differentiated technology and AI offerings, tailored to specific clinical and business needs.
• Collaborate with matrix partners across Cigna business units, along with operational partners in technology and data and analytics to ensure alignment and execution.
• Ensure operational readiness and scalability of new clinical programs and services.
• Track and report on initiative performance, ensuring alignment with financial and clinical impact goals.
• Develop executive-level communications, including strategy memos and stakeholder updates.

Principal, Enterprise Clinical Technology & AI Strategic Initiatives

• own the design, optimization, and evolution of our HR tech ecosystem
• develop the next wave of HR transformation through AI-powered automation
• design and execute upon a strategy for HR tech enablement which enhances efficiency, decision-making, and the employee experience
• review the end-to-end Workday platform
• execute the HRIS optimization roadmap aligned with business and HR strategy
• partner with business and HR leadership to translate organizational needs into scalable system solutions
• establish and oversee future HRIS operating model
• identify and deploy AI-driven solutions to streamline HR operations
• oversee maintenance and further implementation of AI-enabled tools
• evaluate AI use cases for governance, ethical guidelines, and risk controls for usage within HR
• oversee an integrated resource team

Director, HR Technology Transformation – AI Automation

• 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

• Drive end-to-end delivery of production AI platforms
• Lead solution architecture, orchestrate model pipelines, and design multi-agent workflows
• Create reusable SDKs and frameworks
• Collaborate across product, engineering, security, and governance teams
• Ensure AI systems are scalable, observable, cost-efficient, and compliant
• Define design patterns and optimize operational pipelines
• Enable internal reuse of proven solutions
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals

Senior Artificial Intelligence Engineer

• Own complete AI transformation projects end-to-end
• Manage direct reports through formal performance management
• Serve as primary client relationship owner
• Drive solution development through use case identification
• Proactively drive business development activities
• Oversee practice improvement initiatives
• Facilitate client workshops and capability building activities
• Manage project risks, issues, and changes proactively
• Provide formal coaching to team members

AI Solutions Consulting Lead

• Reporting to the Director of Communities and Ecosystem you are the primary commercial architect for SUSE’s most strategic AI relationships (NVIDIA, Intel, AMD)
• Lead the creation of the SUSE AI Factory narrative, developing technical GTM solutions that move at the speed of the AI market
• Identify and productize top use cases into validated "Blueprints" for OEM and GSI partners
• Architect the GTM strategy for our AI Developer Bundles to win mindshare at the workstation level
• Define and execute the "Better Together" narrative
• Author high-fidelity technical content
• Develop specialized training for global teams
• Lead SUSE’s technical presence at key AI shows using data-driven insights
• Assemble and lead a specialized team

AI Partner Marketing

• Execute and maintain Chamber’s enterprise AI roadmap
• Develop the analytical framework for AI’s impact
• Collaborate to bring AI tools to life
• Define how Chamber deploys AI responsibly
• Support Chamber’s broader strategic agenda
• Help shape how Chamber communicates its strategy

Artificial Intelligence jobs in Tennessee

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