
Director of AI
PlanHub
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- Define, execute, and own the organization’s AI vision, strategy, and long-term roadmap, ensuring alignment with business objectives and measurable outcomes
- Lead, build, and scale high-performing AI, ML, and data science organizations, establishing clear operating models, standards, and governance
- Oversee the design and adoption of agentic AI and generative AI systems, including multi-agent workflows, orchestration frameworks (e.g., LangChain / LangGraph), and foundation model selection, with provisions for accuracy, security and trust-first designs
- Provide strategic direction for Retrieval-Augmented Generation (RAG) platforms, ensuring high-quality enterprise knowledge retrieval, consistency, and reliability
- Own the strategic direction for recommendation and personalization systems, guiding initiatives across content discovery, ranking, personalization, and user engagement
- Establish success metrics, experimentation frameworks (e.g., A/B testing), and continuous improvement processes for AI-driven products
- Oversee the organization’s AWS-based AI and ML platform, including governance of SageMaker, Bedrock, data platforms, and deployment infrastructure
- Set standards for MLOps, model lifecycle management, monitoring, cost optimization, and scalability, in partnership with Engineering and Platform teams
- Ensure AI solutions meet requirements for security, privacy, ethics, and regulatory compliance, driving responsible AI practices
- Act as the AI advisor to senior leadership, influencing product strategy, investment decisions, and external partnerships.
Requirements
- 10+ years of experience in AI / machine learning, with significant leadership responsibility
- Proven leadership of recommendation systems and personalization platforms
- Strong understanding of LLMs, RAG, and agentic AI concepts
- Experience overseeing AI systems deployed on AWS
- Track record of leading cross-functional AI initiatives
- Ability to communicate complex AI topics to executive and non-technical audiences
- Experience aligning AI investments with measurable business outcomes
- Experience leading AI strategy at scale
- Background in consumer-facing personalization or search platforms
- Familiarity with AI governance frameworks and regulatory landscapes.
Benefits
- Remote friendly
- Open time-off policy
- 401(k)/RRSP plan with a company match
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AImachine learningdata sciencerecommendation systemspersonalization platformsRetrieval-Augmented Generation (RAG)MLOpsA/B testingmodel lifecycle managementAWS
Soft Skills
leadershipcommunicationstrategic directioninfluencingcross-functional collaborationalignment with business objectivescontinuous improvementcomplex topic explanationgovernanceethical practices