Description
We are looking for a visionary leader to guide our efforts in building and scaling AI-driven tools and platforms. Your mission will be to develop and refine AI systems that enhance user experience, transforming how we serve customers and empower businesses.
In this role, you will create generative AI-powered platforms, focusing on developing SDKs and APIs that support a wide range of applications such as AI Assistants, information retrieval, and fraud detection. As a people leader, you will manage teams, foster collaboration, and integrate emerging AI capabilities into our enterprise solutions.
Key Responsibilities
- Lead the development of abstract platform services to support applications powered by Generative AI.
- Build SDKs and APIs for applications such as information retrieval, AI assistants, recommendations, and fraud detection.
- Design and build RAG (Retrieval-Augmented Generation) service platform orchestrations, including prompt engineering, vector databases, and API grounding.
- Create and manage cross-organizational partnerships to implement a prompt management service.
- Stay current with the latest advancements in operationalizing machine learning and Generative AI technologies.
- Develop and support MLOps for foundation models, ensuring scalable and reliable operations.
- Collaborate closely with product teams and researchers to identify and prioritize ongoing and future AI-powered services.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 8+ years of programming experience with languages such as Python, Go, Scala, or C/C++.
- 5+ years of experience in designing, building, and deploying AI or machine learning applications at an enterprise scale.
- 3+ years of experience with full lifecycle machine learning automation using MLOps.
- 4+ years of team leadership in AI/ML development.
- 5+ years of experience in people management.
- Experience with LLM-based conversational AI systems.
Preferred Qualifications
- Master's degree or Ph.D. in Engineering, Computer Science, or a related technical field with a focus on modern AI techniques.
- Strong problem-solving and analytical skills, capable of working independently or collaboratively within a team.
- Experience designing large-scale, distributed platforms in cloud environments like AWS, Azure, or GCP.
- Expertise in architecting cloud systems for performance, scalability, and security.
- Hands-on experience delivering large models through the MLOps lifecycle, from exploration to production.
- Ability to operate in fast-paced environments with competing priorities.
- Deep knowledge of AI technologies such as prompt engineering, vector databases, LLM hosting, and fine-tuning.
Compensation And Benefits
This role offers competitive compensation based on location and experience. In addition to a competitive base salary, the role is eligible for performance-based bonuses and long-term incentives. We also offer a comprehensive benefits package that includes health, financial, and wellness resources to support your overall well-being.
- Salary Range for Remote (Regardless of Location): \(232,900 - \)265,800.
- Performance-based incentives may include cash bonuses and/or long-term incentives (LTI), subject to the company's compensation plans.
Work Environment
This position is open to remote work across the United States. Applicants from other locations may be subject to pay adjustments based on local market standards.
Equal Opportunity Employment
We are committed to fostering a diverse, inclusive work environment and providing equal employment opportunities for all. All qualified applicants will receive consideration for employment without regard to factors such as sex, race, color, age, national origin, religion, disability, or veteran status.
Employment Type: Full-Time