AI Solutions Lead
- Market p25–p75
- $114k–$183k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +2,75312% of open
- All other
- 624,115open
About Addition
Addition is R/GA's applied intelligence studio. We work with many of the world's leading brands to solve problems at the intersection of frontier AI and human-centered design. We collaborate with our clients to implement and scale AI systems that create real-world value—improving communications, customer experiences, and internal business workflows.
About R/GA
In our 40-year history, we’ve changed a lot—from a culture-defining film title studio (Superman, Alien, Ghostbusters); to an interactive advertising agency; to an award-winning product and marketing agency with design, technology, communications, ventures and IP practices. We like change, and like to navigate our clients through it too. Our approach to work is always human first. This unwavering focus helps us create meaningful and memorable experiences that live across digital platforms and often blur the line between the digital and real worlds. We believe disruptive thinking happens when you collide experts in design, technology and culture.
About the Role
As AI Solutions Lead, you run applied AI strategy on client engagements: assessing AI readiness, running discovery, defining solutions, and building the phased roadmaps and measurement plans that turn a client's ambition into work our designers, AI Engineers, and producers can ship. You work day-to-day with our AI Solutions Director and management team, at the intersection of business problems, customer needs, and technical problem solving.
This is a hands-on role. Our AI Solutions Director sets direction and vets what we take on; you make it real inside the engagement. You run the stakeholder interviews, distill the findings into an executive readout, and draft the roadmap and measurement plan that hold up under technical scrutiny. You're not selling; you make the work credible and comprehensible, and you are the day-to-day strategic voice the client team and our project team rely on.
We need someone who can own an engagement end to end: run the discovery, define the solution, build the plan, and make the recommendation hold up in the room. Someone who raises the bar for how we scope, measure, and deliver applied AI work, and brings the rigor to turn a client's ambition into something real.
This role sits within our Strategy team, reporting into our AI Solutions Director, and working closely with our designers, AI engineers, and producers.
Primary Responsibilities
- Discovery + Stakeholder Interviews: During project planning phases, run structured interviews across client organizations, from product and engineering to executive leadership, to surface needs, constraints, and opportunities. Design and lead the user research (usability testing, journey mapping, interviews) that grounds solutions in real behavior rather than assumptions.
- AI Readiness + Solution Definition: Lead readiness assessments and define solutions that connect business objectives and user needs to technical execution. Define what's feasible, what's valuable, and what to build first, and write it up as a phased plan the engineering team can scope against.
- Measurement in Practice: Define success metrics, KPIs, and measurement frameworks for AI initiatives, then stand them up with engineering: instrument the evaluation, report against it, and share back what we're learning with the client.
- Readouts + Strategic Deliverables: Synthesize research and discovery into clear, actionable readouts. Translate technical complexity into language that moves decisions forward, for C-suite and senior technical audiences alike.
- Cross-functional Collaboration: Work with engineering, design, and production to shape scopes, validate approaches, and make sure roadmaps translate into deliverable work. You are the connective layer between "what the client needs" and "what we're building."
- Operating the Playbook: Apply Addition's discovery, roadmapping, and measurement frameworks on every engagement and feed back what worked and what didn't, so the playbook improves with each client.