Senior Director of AI, R&D & Agentic Systems
L
LearneoAI, Writing
US - RemoteFull-TimeDirector
Salary not disclosed
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Job Details
- Required Skills
- NLPMLOps
Requirements
- Experience building and shipping agentic systems or orchestration platforms in production at meaningful scale
- Deep expertise coordinating diverse agent populations (plan-based, scripted, and hybrid) within stateful environments, including task decomposition, intent routing, and multi-step execution
- Proven ability to design and operate systems that maintain sustained, context-aware agency across multi-session and multi-domain workflows
- Ability to optimize sophisticated planning logic against the constraints of latency, unit economics, and reliability at consumer scale
- Background in NLP and/or multimodal AI (text and image preferred)
- Ability to guide applied research, evaluate model architectures, and make binding technical decisions on model strategy across proprietary and third-party ecosystems
- Proven leadership of both AI R&D and Applied AI/MLOps teams within consumer product environments serving millions of users
- Track record of scaling AI systems and infrastructure from early-stage builds (0→1) into high-scale production (1→10)
- Forms strong technical opinions quickly, updates them based on evidence rather than consensus, and translates AI capabilities into product direction and business impact
- Has built or reshaped AI organizations to match the demands of a rapidly evolving technical mandate, including hiring, restructuring, and raising the performance bar
- Drives alignment across Engineering, Product, and executive stakeholders through technical credibility and strategic clarity
- Operates effectively across global distributed teams and time zones
Responsibilities
- Serve as the primary architect of QuillBot’s intelligence layer, leading the evolution from a suite of AI tools to a unified, agent-driven AI-native creative platform
- Define and build the orchestration systems that unify QuillBot’s products into cohesive, multi-step workflows
- Lead both AI R&D and Applied AI teams, shaping the model stack, agentic infrastructure, and production systems
- Ship and iterate on production agentic workflows connecting QuillBot's core tools and surfaces
- Make high-conviction technical bets on the model stack, compute strategy, and agent execution model
- Own the technical point of view on which ICP verticals and workflows justify agentic investment
- Inherit and reshape the AI org to match the velocity and scope of what we're building, including hiring where gaps exist
- Design and lead systems for intent recognition, task decomposition, and multi-step execution across QuillBot’s product surfaces
- Lead research and development across text and multimodal domains, with an initial focus on text and image capabilities
- Drive the shipping cadence for model updates, MLOps, and data pipelines across high-scale production
- Own system reliability and performance of the AI stack serving tens of millions of users worldwide
- Build and lead an integrated AI organization spanning R&D and Applied AI teams
- Partner with the VP of AI and senior leadership to define technical direction, evaluate trade-offs, and guide platform-level decisions
- Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards
- Raise the quality bar across the organization, acting as a force multiplier for team performance and execution
- Architect the team's operating model around AI-native workflows, using automated pipelines, code generation, and internal tooling
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