Artificial Intelligence

• Architect the PMO’s digital infrastructure, reporting systems, and Jira/Confluence data structures
• Identify, design, and monitor AI-driven workflow automations
• Source and evaluate AI and intelligent automation opportunities within the department
• Measure and report efficiency gains and operational impact of implemented fixes
• Act as the primary liaison for department requests through the formal Project Management Tooling (PMT) process
• Enforce standards for document ownership and information lifecycle management
• Create and maintain protocols for primary project and department meeting rounds
• Collaborate with project and department leaders to define and document processes, procedures, and best practices
• Support documentation and management of department standards and policies
• Support creation and maintenance of department status reports
• Analyze infotainment topics during pre-series and series programs at the Chattanooga factory

PMO Analyst – AI & Digital Solutions

• Lead OneOncology’s enterprise approach to AI governance, validation, operational oversight, and adoption
• Establish and manage risk-tiered AI validation frameworks and pre-production accuracy testing
• Stand up continuous production monitoring for model drift, errors, throughput, backlog, and change detection
• Define human-in-the-loop boundaries and maintain tested rollback provisions for high-risk AI systems
• Retain validation and monitoring evidence in enterprise systems for SOX ITGC and audit readiness
• Lead end-to-end validation and operational oversight of the Risa autonomous prior authorization agent
• Establish accountability models for audit trails, explainability, drift detection, error monitoring, and performance benchmarking
• Operate enterprise AI pilot intake with defined success and kill criteria
• Run structured vendor evaluations and conduct diligence on security, PHI handling, data rights, integrations, and model performance
• Own AI production operations, including incident response and change control
• Enable adoption of low-risk productivity AI across the enterprise
• Report AI portfolio status, risk posture, and validation progress to executive leadership
• Own the Claude Enterprise platform, including administration, security configuration, usage policy, and adoption roadmap
• Embed with business teams to build agents, skills, and workflows in real operational contexts
• Own the enterprise connector strategy integrating Claude with Salesforce, Monday.com, ServiceNow, Databricks, GitHub, Microsoft 365, and Workday through MCP
• Build the enterprise library of skills, agents, and prompt patterns; run enablement programs and a champions network
• Measure value realization through active usage, production workflows, and time returned to teams
• Lead and develop a small AI enablement, validation, and operational oversight team
• Build the AI enablement function by defining roles, responsibilities, team structure, and capabilities

Senior Director, Enterprise AI

• Establish and execute the Center's strategic vision, priorities, and growth strategy
• Build a world-class Center of Excellence with AI-augmented wargaming capability
• Develop the Center's research agenda and thought leadership initiatives
• Establish governance, operating models, methodologies, and standards for AI-enabled wargaming and simulation
• Recruit, develop, and lead research, operational, and program staff
• Advise Institute leadership on emerging national security, defense, cyber, and technology trends
• Lead innovative AI-augmented wargaming methodologies and frameworks
• Oversee strategic, operational, and analytical wargames addressing public and private sector challenges
• Direct research on artificial intelligence, machine learning, simulation, and emerging technologies for decision-making and strategic analysis
• Ensure rigorous analytical standards and actionable insights
• Lead publication of research products, reports, and thought leadership content
• Represent the Center with senior leaders across government, military, industry, and academia
• Develop strategic partnerships and pursue collaborations, sponsorships, grants, and external funding
• Convene workshops, conferences, and strategic dialogues
• Develop long-term financial sustainability and growth strategies
• Secure grants, contracts, philanthropic support, and other external funding
• Oversee budgets, resource allocation, performance metrics, organizational impact, and compliance

Director – AI Gaming Center

• Own and set the enterprise Generative AI and Agentic AI architecture vision and multi-year roadmap
• Chair or co-lead executive architecture and AI governance forums
• Direct the enterprise intelligence layer strategy, including reference architectures, standards, reusable patterns, and platform capabilities
• Define and govern the enterprise agentic AI strategy and platform blueprint
• Establish enterprise patterns for multi-agent orchestration, reasoning, tool use, memory, human-in-the-loop controls, observability, fail-safes, and lifecycle management
• Set enterprise standards for GenAI and agentic solutions across AWS and Azure
• Own the enterprise Retrieval-Augmented Generation strategy and common frameworks
• Establish standards for knowledge governance, provenance, permissions, lineage, data quality, and approved knowledge sources
• Define integration patterns for legacy platforms and modern cloud services
• Partner with Enterprise Architecture, Infrastructure, and Platform teams on identity, networking, monitoring, disaster recovery, and service management
• Define shared enterprise data architectures, ontologies, governance models, and operating practices with data, analytics, and platform teams
• Establish standards for AI-ready data products, metadata, semantic layers, and data quality thresholds
• Serve as executive technical authority to security, risk, legal, compliance, and audit stakeholders
• Establish practices for model governance, evaluation, red teaming, bias mitigation, explainability, and controls
• Lead the enterprise AI architecture portfolio and prioritize capabilities and investments
• Define success metrics and track value realization
• Partner with Technology and Business leadership to transition AI initiatives into production operations
• Build and develop enterprise AI architecture talent, coach senior architects, and create communities of practice
• Influence platform/tooling decisions, vendor strategy, and ecosystem partnerships
• Represent the organization as a senior AI architecture leader in executive engagements and transformation initiatives
• Perform other duties as assigned
• Travel as required

Principal Architect – Gen AI

• Design, build, and maintain resilient ETL/ELT pipelines ingesting on-premise systems, AWS services, and Azure platforms for Snowflake and downstream AI services
• Develop and maintain feature stores and analytically optimized datasets for machine learning workflows
• Engineer pipelines for generative AI use cases, including extraction, transformation, chunking, and loading of structured and unstructured data into vector databases
• Serve as a Snowflake power user and technical lead, implementing data modeling, Snowpipe automation, and compute and storage optimization
• Execute non-invasive data extraction from legacy systems while preserving system stability
• Design and manage cross-platform workflows using Airflow, AWS Step Functions, and Azure Data Factory
• Partner with IT, database, infrastructure, and security teams to resolve connectivity and access challenges and secure production approval for integrations
• Implement automated data quality, validation, and observability frameworks
• Optimize storage, compute usage, and query performance across Snowflake, AWS, and Azure
• Partner with MLOps, Data Science, and AI teams to translate experimental use cases into scalable, production-ready data solutions
• Perform other duties as assigned

Engineer – Gen AI

• 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
• Translate AI strategy into dependable, compliant performance for member-facing virtual assistants
• Convert performance insights into prioritized cross-team actions that improve the virtual assistant while protecting reliability and compliance

Artificial Intelligence jobs in Tennessee

PMO Analyst – AI & Digital Solutions

Senior Director, Enterprise AI

Director – AI Gaming Center

Principal Architect – Gen AI

Engineer – Gen AI

Senior Operations AI Analyst