Remote Director of Generative AI - People Leader - Agents and Tooling

Job Overview

We are seeking an innovative and visionary Director of Generative AI - Agents and Tooling to join our dynamic team. As a leader in the field of AI, you will spearhead the development of groundbreaking, AI-oriented solutions designed to elevate both customer interactions and business workflows. Your expertise will help shape the future of AI within our organization, driving transformative changes across industries.

Key Responsibilities

• Architect and develop abstract platform services that leverage generative AI to enhance application performance.
• Create SDKs and APIs that empower our user community to design a variety of AI-enhanced tools, including information retrieval systems, fraud detection algorithms, AI assistants, and recommendation engines.
• Design and implement advanced services focused on prompt engineering and vector databases to optimize generative AI processes, including the enhancement of large language models (LLMs) through retrieval-augmented generation (RAG).
• Coordinate with operations to ensure the generation of high-quality datasets and oversee the deployment of production-grade AI models.
• Collaborate closely with research and product teams to identify and prioritize emerging AI services that foster innovation within the organization.
• Remain informed about the latest advancements in machine learning and AI technologies, actively contributing to the strategic direction of future initiatives.
  
  

Required Skills

• Proficiency in programming languages such as Python, Go, Scala, or C/C++.
• Extensive experience in designing, building, and deploying enterprise-level AI applications.
• Proven leadership in managing teams focused on developing machine learning solutions, with at least five years of people management experience.
• Familiarity with LLM-based conversational AI systems and MLOps principles, overseeing the complete lifecycle of machine learning applications.
• Strong analytical problem-solving skills and the ability to work both independently and collaboratively.
• Knowledge and experience in architecting large-scale distributed systems in cloud environments such as AWS, Azure, or GCP.
  
  

Qualifications

• A Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• A minimum of 8 years of programming experience in relevant languages.
• At least 5 years of experience in the design and deployment of enterprise AI applications.
• A minimum of 3 years of experience in MLOps, managing machine learning application lifecycles.
  
  

Career Growth Opportunities

Joining our esteemed organization offers significant potential for professional development. You will have the opportunity to lead strategic AI initiatives, expand your network with industry leaders, and participate in cutting-edge projects that influence the future of technology.

Company Culture And Values

We are committed to fostering a culture of innovation, collaboration, and integrity. Our team is dedicated to creating AI systems that are not only powerful but also trustworthy and ethical. We value diversity and inclusion, recognizing that diverse perspectives drive the best outcomes.

Compensation And Benefits

We provide a competitive compensation package, including a comprehensive benefits plan that prioritizes your health, financial security, and overall well-being. Performance-based incentives, such as bonuses and long-term incentives (LTI), are also available.

Compensation Ranges

• San Francisco, CA (Hybrid On-Site): \(291,100 - \)332,300 annually
• New York City (Hybrid On-Site): \(274,800 - \)313,600 annually
• Remote (Regardless of Location): \(232,900 - \)265,800 annually
  
  

The actual salary offered will be determined based on your location and qualifications and confirmed upon receiving the final offer.

Employment Type: Full-Time