Artificial Intelligence

• Build and ship verified cross-functional AI agents, skills, and Glean projects for workflows shared across business units
• Own verified artifacts as products with defined scope, absorbing owners, feedback cadences, versioning, and update paths
• Establish and enforce verification standards, quality bars, launch gates, monitoring, and post-launch reviews
• Design and run evaluations using real user intents and measured fallback and error rates
• Diagnose and fix platform-level agent failures and escalate genuine product gaps with reproducible cases
• Conduct workflow discovery across WWE, UFC, IMG, PBR, On Location, and corporate functions
• Identify reusable capabilities underneath local requests and prioritize what belongs in the verified core
• Maintain a live view of workflow coverage and promote proven business-unit patterns into the core
• Build and maintain a pattern library of templates, examples, and reference instruction sets
• Run hands-on agent-building working sessions and transfer capability to business teams
• Design and deliver practical agent-building training and hand materials to the change and enablement team
• Prepare Wave 2 starter agents, worked examples, and role-based starting-point content
• Maintain visibility into the verified-core roadmap and demand prioritization
• Issue weekly written updates, maintain action logs, and surface risks early
• In the first 90 days, ship verified artifacts, map workflows, deliver training cohorts, establish owners and monitoring, and promote a business-unit agent into the verified core

Associate Enterprise AI Solutions

• Work directly with strategic customers to understand objectives and challenges
• Identify high-impact AI opportunities that deliver measurable business value
• Design scalable AI-powered solutions using Omnea's procurement automation platform
• Prototype AI solutions and proof-of-value implementations
• Demonstrate value to business, technical, and executive stakeholders
• Facilitate customer workshops, hackathons, and innovation sessions
• Drive successful implementation, adoption, and measurable value realization
• Develop domain expertise in areas such as supply chain and finance
• Scale customer and domain knowledge across the organization
• Evaluate whether AI prototypes solve customer problems and impact key metrics
• Share learnings with the broader team as Omnea's AI tooling evolves

AI Deployment Lead

• Collaborate with Designlab to shape the curriculum, learning objectives, exercises, and projects
• Teach live sessions to cohorts of working professionals
• Help students identify strong use cases for AI, automation, and agentic workflows
• Teach students how to build systems with the right context, tools, guardrails, and human checkpoints
• Help students troubleshoot, evaluate, and improve the workflows they build
• Keep course content current as the technology evolves
• Develop teaching materials and exercises and prepare the course for launch

Instructor, AI Workflows – Agents

• Observe and document legal and business workflows and identify opportunities for AI assistance
• Develop, test, and refine prompts for legal and business use cases
• Assist with evaluations and proof-of-concept pilots for generative AI and legal technology platforms
• Record prompts, test results, limitations, approved use cases, and user feedback
• Assist with scoping, building, testing, and deploying lightweight custom AI agents and workflow automation tools
• Develop and test tools for contract review, research assistance, matter intake, billing, document management, and compliance tracking
• Support low-code/no-code and AI-assisted application development
• Document tool functionality and gather feedback to improve custom tools
• Assist with project plans, timelines, meeting notes, action items, status updates, and pilot progress measures
• Coordinate communications among attorneys, professional staff, IT, information security teams, and technology vendors
• Apply confidentiality, privacy, access-control, and secure AI-use procedures
• Provide day-to-day AI support, triage requests, escalate complex issues, and support demonstrations, office hours, and training sessions
• Create quick-start guides, FAQs, sample prompts, training materials, annotated screenshots, checklists, and how-to documentation
• Provide one-on-one training on AI workflows, prompting, databases, content organization, and legal technology processes
• Coordinate firm-wide AI innovation events
• Build, maintain, and organize content and manage approval workflows and user permissions
• Create, maintain, and troubleshoot AI-enabled databases and knowledge bases for legal AI tools

Junior AI Specialist

• Manage a portfolio of customers while leading ROI and value initiatives with a customer success manager
• Act as a strategic transformation partner for Fortune 50-100 customers
• Set vision and define the JTBD framework with leadership teams to drive AI adoption
• Build and manage C-suite relationships as a trusted advisor
• Lead value realization and ROI delivery through surveys and interviews
• Frame the P&L impact of AI adoption in business reviews
• Orchestrate complex cross-functional programs across multiple stakeholders
• Manage customer teams, escalations, risk mitigation, and program updates
• Identify and drive expansion opportunities with sales through cross-sell and upsell initiatives
• Produce and processify decks, frameworks, and communications to scale transformation best practices
• Report to the director of AI transformation and success

Strategic AI Transformation Lead

• Manage a portfolio of customers while leading ROI and value initiatives in partnership with a customer success manager
• Act as a strategic transformation partner for Fortune 50-100 customers by setting vision and defining the JTBD framework with leadership teams to drive AI adoption
• Build and manage C-suite relationships as a trusted advisor
• Lead value realization and ROI delivery through surveys and interviews to frame the P&L impact of AI adoption in business reviews
• Orchestrate complex cross-functional programs across multiple stakeholders
• Manage customer teams, escalations, risk mitigation, and program updates
• Identify and drive expansion opportunities with sales through cross-sell and upsell initiatives
• Scale transformation best practices by producing and processifying decks, frameworks, and communications for the wider team

Enterprise AI Transformation Lead

• Support enterprise data governance and AI governance initiatives
• Assist with program operations, data analysis, reporting, documentation, stakeholder engagement, and process improvement
• Improve visibility, accountability, and effectiveness across governance programs
• Work alongside the governance team and a mentor on strategic projects
• Complete assignments based on business needs, departmental priorities, and qualifications
• Perform technical and non-technical business-related projects
• Create and deliver a presentation at the completion of the internship
• Maintain confidentiality and protect member privacy
• Attend regularly and reliably
• Perform other functions assigned by management

College Intern – Data Governance, AI Governance

• Lead the hands-on design, development, and deployment of AI workflows for the M&A practice
• Fine-tune models on M&A knowledge and build reusable workflows
• Use Harvey, Legora, DeepJudge, Claude Cowork, and Claude Code to build, test, refine, and ship production-quality AI solutions
• Collaborate with Engineering, Data Science, KM Lawyers, Practice Solutions, and M&A leadership
• Develop strategies that drive sustained AI adoption within the M&A practice
• Identify high-impact AI use cases across deal screening, due diligence, signing, and closing
• Test and evaluate workflows against legal first principles; refine prompts and workflow logic
• Build datasets, test sets, and evaluation frameworks for proofs of concept, pilots, and ongoing development
• Govern AI assets including prompts, prompt libraries, workflows, vaults, and document collections
• Design and deliver AI training, workshops, and best-practice resources for M&A lawyers
• Advise on confidentiality, privilege, data privacy, output reliability, and professional responsibility
• Share successful use cases and best practices across practice groups
• Evaluate new AI technologies through demonstrations, proofs of concept, and pilots
• Monitor AI, legal technology, and M&A developments to identify process-improvement opportunities

Senior Artificial Intelligence Lawyer – M&A

• Lead and prioritize AI Squad initiatives across GBM
• Identify, evaluate, and champion high-value AI opportunities with global and site teams
• Accelerate replication of proven AI solutions across sites
• Establish scalable playbooks, standards, and best practices
• Partner with Site AI Champions and business leaders to drive engagement, adoption, and capability building
• Advance AI fluency and change adoption across the network
• Monitor value realization, adoption metrics, and implementation effectiveness
• Remove barriers to successful implementation
• Foster experimentation, learning, and continuous improvement through agile, sprint-based delivery
• Connect local innovation efforts with enterprise AI governance, strategy, and standards
• Lead cross-functional AI Squads through sprint-based delivery and hold teams accountable for outcomes and timelines
• Surface and shape AI opportunities with clear business impact
• Assess opportunities based on strategic alignment, value, scalability, and implementation readiness
• Prioritize and sequence squad capacity across sites
• Facilitate decision-making, stakeholder alignment, and issue resolution across sites and functions
• Ensure solutions address sustainability, scalability, compliance, and user adoption
• Identify site-grown solutions ready for network replication and own their rollout
• Codify proven solutions into playbooks and standards
• Align replicated solutions with network standards and governance
• Tailor rollouts to local context while preserving standards
• Gather site feedback and address adoption barriers
• Standardize and harmonize approaches across sites

AI Scaling Lead

• Support the evolution, adoption, and continuous improvement of AI-powered marketing capabilities
• Partner with Pod Leads to refine user stories, support product strategy, and deliver AI-powered marketing capabilities
• Collect, synthesize, and prioritize stakeholder feedback to inform product enhancements and roadmap decisions
• Support launches, training, and enablement efforts for CoCo capabilities
• Leverage user feedback, adoption metrics, and business insights to identify optimization opportunities
• Support capability roadmaps, enhancement planning, and feature prioritization
• Gather feature-level outcomes, use cases, and user stories for CoCo capabilities within PI planning
• Translate marketing and business needs into actionable product requirements for technical teams
• Define success metrics, business value hypotheses, and adoption goals
• Identify pain points and opportunities to simplify workflows or improve user experience
• Support UAT/BAT testing, own pod sprint goals and risk register, and develop testing scenarios
• Support feature release backlog planning and readiness activities
• Track user-reported issues and enhancement requests through resolution
• Monitor adoption metrics and increase engagement and value realization
• Promote AI-native ways of working and advise users on CoCo functionality and best practices
• Collaborate with Pod Leads, Business Translators, Data Science, Engineering, UX, Change Management, and business stakeholders
• Contribute to agile ceremonies, planning sessions, product reviews, governance, and documentation

Artificial Intelligence jobs in New York