AI Solutions Lead

R/GA•Los Angeles, NY
•Hybrid

About The Position

The AI Solutions Lead runs applied AI strategy on client engagements, assessing AI readiness, conducting discovery, defining solutions, and building phased roadmaps and measurement plans that enable designers, AI engineers, and producers to deliver work. The role works day to day with the AI Solutions Director and management team at the intersection of business problems, customer needs, and technical problem solving. It is a hands-on position focused on making strategy actionable within client engagements rather than selling services. The lead owns engagements end to end: conducting stakeholder interviews and user research, synthesizing findings into executive readouts, defining feasible and valuable solutions, and developing plans that engineering teams can scope against. They serve as a strategic voice for client and project teams and help ensure recommendations are credible, measurable, and technically sound. The position is part of the Strategy team, reports to the AI Solutions Director, and works closely with designers, AI engineers, and producers. It is based in the NYC/Tri-State area, Greater Los Angeles area, or San Francisco Bay Area, with a hybrid work model and regular in-person collaboration and team/client workshops. Candidates must be within commuting distance of one of these areas or willing to relocate.

Requirements

  • 7+ years in strategy, solutions, or technical consulting roles at agencies, consultancies, or technology companies.
  • Proven experience leading discovery engagements, including stakeholder interviews, landscape assessments, and strategic readouts.
  • Working technical fluency in Generative AI and AI systems.
  • Comfort presenting to senior client stakeholders and defending recommendations under questioning.
  • Experience scoping and structuring AI or digital transformation workstreams.
  • Collaborative approach and ability to work across engineering, design, and production.
  • Comfort with ambiguity and fast-paced environments.

Nice To Haves

  • Experience in an agency, studio, or consultancy where projects move quickly and strategy must work across diverse client engagements.
  • Hands-on experience with AI implementation, such as scoping, prototyping, or shipping solutions using LLMs, agents, or generative tools.
  • Ability to work credibly with both marketing leadership and engineering at the intersection of technology and applied creative.
  • Experience building or contributing to repeatable frameworks for opportunity assessment, roadmapping, or measurement.

Responsibilities

  • Run structured stakeholder interviews across client organizations, including product, engineering, and executive leadership, to identify needs, constraints, and opportunities.
  • Design and lead user research, including usability testing, journey mapping, and interviews, to ground solutions in real behavior.
  • Lead AI readiness assessments and define solutions connecting business objectives and user needs to technical execution.
  • Determine feasibility, value, and priorities, and create phased plans that engineering teams can scope against.
  • Define success metrics, KPIs, and measurement frameworks for AI initiatives; work with engineering to instrument evaluations, report results, and share learnings with clients.
  • Synthesize research and discovery into clear, actionable readouts for C-suite and senior technical audiences.
  • Translate technical complexity into language that helps move decisions forward.
  • Collaborate with engineering, design, and production to shape scopes, validate approaches, and ensure roadmaps translate into deliverable work.
  • Apply Addition's discovery, roadmapping, and measurement frameworks across engagements and provide feedback to improve the playbook.

Benefits

  • High-impact work on technological and creative solutions for global brands.
  • Direct collaboration with the CEO, leadership team, and R/GA network.
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