Artificial Intelligence

• Perform risk analysis across AI capabilities, use cases, platforms, and supporting technologies
• Conduct forward-looking research on AI technology, risk, controls, regulatory expectations, and changes in the threat environment
• Analyze AI risks and control considerations and translate findings into clear, auditable outputs for second-line oversight
• Support risk identification, assessment, measurement, and monitoring activities across the AI Risk portfolio
• Prepare analysis and materials for AI Risk decisions, governance, and stakeholder discussions
• Support AI risk issue management, including analysis, documentation, tracking, and remediation oversight
• Analyze AI risk metric breaches, identify root causes, and support development and tracking of paths to green
• Maintain documentation and evidence for governance, regulatory, and audit needs
• Build, configure, test, or support AI agents used to strengthen or scale AI Risk activities
• Execute assignments across changing priorities in a rapidly evolving AI business and risk environment
• Collaborate with Technology, AI Hub, Engineering, Data, Risk & Compliance, and business stakeholders

Senior Specialist, AI Risk

• Define and execute the TDS AI Solutions strategy and portfolio roadmap aligned to TDS and DDSAI priorities
• Lead design, build, validation, and delivery of AI/ML, generative AI, and agentic co-scientist solutions
• Translate complex scientific and operational problems into well-scoped modeling problems
• Establish reusable solution patterns, shared components, evaluation frameworks, and agentic architectures
• Serve as DDSAI technical owner for shared AI capabilities for TDS
• Represent TDS requirements to cross-functional platform, data, and technology teams
• Set standards for model development, validation, evaluation, monitoring, version control, testing, documentation, reproducibility, and code review
• Partner with J&J Technology and platform teams on deployment, integration, scaling, and monitoring
• Drive model validation, transparency, traceability, and computerized-system compliance in regulated GxP environments
• Define model lifecycle and sustainability, including support, documentation, retraining, revalidation, total cost of ownership, and retirement criteria
• Recruit, develop, and lead a team of applied data scientists, ML scientists, and GenAI/NLP engineers
• Grow TDS quantitative and AI fluency through common tooling, standards, templates, onboarding, code review, mentoring, and communities of practice
• Collaborate with process chemists, analytical and formulation scientists, engineers, and supply chain SMEs
• Align Senior Director and VP stakeholders across TDS, DDSAI, and J&J Technology to prioritize the portfolio and drive adoption
• Lead 5+ individual contributors and deliver durable, reusable AI capabilities for Therapeutics Development & Supply

Director, R&D – DDSAI Therapeutics Development Supply, AI Solutions

• Define and execute the TDS AI Solutions strategy and portfolio roadmap
• Lead design, build, validation, and delivery of AI/ML, generative AI, and agentic co-scientist solutions
• Establish reusable solution patterns, shared components, evaluation frameworks, and agentic architectures
• Serve as DDSAI technical owner for shared AI capabilities for TDS
• Represent TDS requirements to cross-functional platform, data, and technology teams
• Set standards for model development, validation, evaluation, monitoring, version control, testing, documentation, reproducibility, and code review
• Partner with J&J Technology and platform teams on deployment, integration, scaling, MLOps, orchestration, and observability
• Drive model validation, transparency, traceability, and computerized-system compliance in regulated GxP environments
• Define model lifecycle and sustainability, including support, documentation, retraining, revalidation, total cost of ownership, and retirement criteria
• Recruit, develop, and lead applied data scientists, ML scientists, and GenAI/NLP engineers
• Scale TDS data science capacity through common tooling, coding and validation standards, reusable templates, onboarding, mentoring, and communities of practice
• Collaborate with process chemists, analytical and formulation scientists, engineers, and supply chain SMEs
• Align Senior Director and VP stakeholders across TDS, DDSAI, and J&J Technology to prioritize the portfolio and drive adoption

Director, R&D – AI Solutions

• Collaborate with developers and data scientists to develop, test, and deploy AI models
• Perform data preprocessing, feature engineering, and model training
• Conduct exploratory data analysis of business and manufacturing process data
• Assess technology and select appropriate AI solutions for use cases
• Research recent advancements in AI/ML and provide insights to the team and leadership
• Write and maintain documentation of models, experiments, and code
• Collaborate with supervisors, business units, and resource unit leaders
• Participate in IT projects involving new systems, information technologies, and information solutions
• Support and enhance existing systems and information technologies
• Consult with global business customers and user groups to gather requirements and feedback
• Translate business requirements into technical solutions and identify key deliverables
• Work hands-on with Python, OCI, and Azure
• Follow departmental processes and produce required documentation
• Work independently, directly with customers, and within work groups

AI Intern

• Assist with AI enablement programs and maturation of the enterprise AI measurement framework
• Measure AI adoption, engagement, proficiency, responsible use, value realization, and ROI across multiple AI tools and platforms
• Define structured, reusable ways to measure AI adoption and value across the enterprise
• Establish standard metric definitions and value hypotheses
• Work directly with data, dashboard tools, KPI logic, reports, and visual storytelling
• Turn complex metrics into clear narratives for senior leaders
• Explain analytical methods to practitioners and technical teams
• Drive alignment across business units, IT, governance, privacy, HR, and engineering without formal authority
• Distinguish usage metrics from business outcomes and assess direct, estimated, or proxy value
• Measure proficiency, behavior change, and digital transformation outcomes
• Support privacy-safe reporting, responsible-use metrics, and governance collaboration
• Define common KPI standards across business units
• Build dashboards, scorecards, and reports showing adoption, usage trends, and business value
• Analyze trends and gaps to recommend enablement, governance, and investment actions
• Partner with matrixed stakeholders to define success measures for AI initiatives
• Develop ROI and value methods linked to time saved, throughput, quality gains, reduced errors, avoided risk, and cost savings
• Maintain an enterprise view across multiple tools and use cases

AI Enablement Engineer

• Provide enterprise-wide visibility, governance coordination, cost transparency, and operational oversight across Hershey's AI ecosystem
• Maintain the authoritative inventory of AI assets and agent identities
• Govern registration and sanctioning processes for new AI solutions
• Monitor AI adoption and usage trends
• Ensure compliance with enterprise policies, governance requirements, and applicable AI regulations including the EU AI Act
• Own processes, reporting, and operational frameworks covering AI assets, ownership, usage, costs, and compliance
• Serve as the operational interface between AI enablement teams, business stakeholders, Finance, Security, Privacy, Legal, and Governance functions
• Provide governance orchestration, scorecard reporting, cost attribution, risk management coordination, and inventory management
• Manage governance activities across AI platforms, agents, copilots, and automation solutions
• Support leadership decision-making through executive reporting
• Drive continuous improvement of AI governance and control processes
• Maintain AI asset lifecycle records, including discovery, registration, ownership tracking, usage visibility, dormancy, and retirement
• Manage AI risk classification, approval workflows, production sanctioning, exception management, and post-deployment monitoring
• Coordinate cross-functional reviews and AI incident escalation
• Provide AI spending reporting covering licensing, subscriptions, cloud consumption, platform costs, and token utilization
• Partner with Finance on cost attribution methodology, progressing from showback to chargeback
• Develop and maintain AI scorecards and dashboards covering adoption, usage, governance status, inventory health, compliance, and spend
• Maintain value measurement methodologies, evidence standards, and governance frameworks aligned with NIST AI RMF and ISO/IEC 42001

Enterprise AI Control Tower Owner

• Lead user interviews, usability studies, contextual research, and validation experiments
• Create and iterate on low- to mid-fidelity prototypes, concept sketches, storyboards, and interaction flows
• Develop and maintain user personas, journey maps, workflow diagrams, and experience models
• Support dual-track discovery and delivery with engineering and product teams
• Facilitate co-creation sessions with users, subject matter experts, and business partners
• Synthesize research data and produce actionable insights and recommendations
• Define and track desirability, usability, and early business-value metrics
• Collaborate with Data & AI product, engineering, analytics, and architecture teams
• Maintain research documentation, prototypes, repositories, and design standards
• Ensure solutions meet accessibility, compliance, and technical feasibility requirements
• Continuously improve discovery practices based on feedback, outcomes, and emerging best practices
• Perform related duties as assigned

Artificial Intelligence jobs in Pennsylvania