Director of Applied AI
$194,000–$223,000 year
RemoteUnited States
Job Summary
Own and drive NDR's Applied AI strategy across client support, sales enablement, and operational intelligence. Lead a high-impact team of Applied AI Engineers while partnering with product, engineering, and business stakeholders to identify opportunities with measurable outcomes. Serve as a thought leader on AI application, overseeing the design, build, and integration of solutions ranging from digital and voice AI agents to RAG-based knowledge assistants and document processing. Drive hands-on prototyping of in-house capabilities and augment third-party solutions, ensuring robust governance and security for all deployed systems. Build roadmaps and delivery plans through executive engagement while staying abreast of industry trends to continuously evolve the AI investment strategy.
Required Qualifications
- Bachelor's degree in data science, business analytics, computer science, or a related field
- An advanced degree
- 10 years of experience in data science, applied AI, or ML engineering roles
- At least 2 or more years in a leadership capacity
- Demonstrated success leading the deployment of production-grade digital AI agents (chat or voice) for customer-facing platforms
- Experience working with AI vendors, platforms, and APIs to deliver enterprise-ready solutions
- Experience supporting AI-powered use cases across sales, service, and customer experience
- Strong Python skills and hands-on experience with prototyping and integrating GenAI tools and APIs
- Proficiency in SQL for data preparation and model enablement workflows
- Deep understanding of LLMs, RAG architectures, vector databases, and prompt engineering
- Strong project management and product collaboration skills
- Ability to prioritize impact-driven delivery
- Experience managing and mentoring small cross-functional teams
- Ability to manage multiple priorities, work under pressure, and deliver high-quality results in a dynamic environment
- Ability to foster a culture of collaboration, continuous improvement, and innovation
- Experience in financial services or a related industry
- Experience with voice AI / conversational AI for telephony platforms
- Familiarity with Salesforce integrations and data workflows
- Exposure to Snowflake or similar enterprise data platforms
- Background in vendor evaluation and enterprise technology procurement
- Familiarity with modern conversational and voice AI platforms such as Cognigy, LiveKit, and ElevenLabs
- Experience with LangGraph or other LLM / agentic orchestration frameworks
- Hands-on experience building and deploying on AWS, with infrastructure-as-code and CI/CD practices (e.g., Terraform)
- Computer competency and ability to work with a computer
- Exceptional written and verbal communication skills
- Punctuality expected, ready to report to work on a consistent basis
- Attain and maintain high performance expectations on a monthly basis
- Available for full-time position
Desired Qualifications
- An advanced degree is strongly preferred
- Comfort working in a culture driven by the scientific method, analytics, and data, including rapid A/B testing and iteration
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