Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.
This is a remote-based position located in the United States or Canada.
Our Products Team is growing and we're looking for an experienced and innovative Generative AI Platform Architect to lead the research, design, and development of cutting-edge AI applications. In this role, you will work at the intersection of AI research and enterprise architecture, designing scalable, high-performance platforms that leverage Generative AI technologies to solve complex, real-world problems. You will be responsible for building the next generation of AI-powered applications across diverse domains, driving both the technical and strategic direction of our AI initiatives.
Key Responsibilities:
- Architect AI Platforms: Design and lead the implementation of scalable, robust AI platforms that support the deployment of Generative AI models (e.g., GPT, BERT, GANs, VAEs, multimodal models) for real-world applications such as natural language processing, image generation, and predictive analytics.
- Lead Research Initiatives: Conduct and guide research into the latest advancements in Generative AI, identifying new algorithms and techniques to enhance model performance and unlock new applications for business challenges.
- End-to-End AI Application Design: Oversee the development of AI applications from concept to production, integrating cutting-edge AI models with data pipelines, APIs, and backend systems to build full-stack, scalable solutions.
- Platform Scalability and Optimization: Develop highly scalable AI platforms that can efficiently handle large-scale datasets and AI workloads, ensuring optimal performance, cost efficiency, and robustness across cloud or on-premise infrastructures.
- Cross-functional Collaboration: Work closely with data scientists, ML engineers, software developers, and business stakeholders to translate AI research into practical, deployable solutions that address business needs and enhance decision-making processes.
- Innovation and Prototyping: Lead the prototyping and experimentation with new generative models, optimizing them for specific use cases (e.g., content generation, personalization, simulation) and scaling prototypes into production-grade applications.
- AI Ethics and Governance: Implement best practices for AI governance, ensuring that the development of AI models adheres to the highest standards of security, privacy, and ethical AI use. Establish frameworks for model monitoring, drift detection, and explainability.
- Mentorship and Leadership: Provide mentorship to junior AI architects, data scientists, and engineers, fostering a culture of innovation, collaboration, and continuous learning.
Qualifications:
- Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
- 10+ years of experience in AI/ML roles, with at least 3-4 years focused on designing AI architectures and deploying large-scale AI platforms.
- Extensive experience with Generative AI models (e.g., GPT, BERT, GANs, VAEs) and deep learning architectures.
- Proven track record of developing end-to-end AI solutions and deploying them at scale, with strong proficiency in both research and production environments.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and hands-on experience with building, training, and deploying large-scale models.
- Deep understanding of cloud platforms (AWS, GCP, Azure) and experience in architecting AI/ML infrastructure on cloud services.
- Experience with data engineering, including handling large datasets, creating data pipelines, and ensuring data quality for training AI models.
- Proficiency in MLOps practices and tools for deploying and maintaining AI models in production environments (e.g., Kubernetes, Docker, Kubeflow, MLflow).
- Knowledge of distributed systems and high-performance computing for scaling large AI models.
- Strong leadership and communication skills, with the ability to work across technical and non-technical teams.
- Exceptional problem-solving skills, creativity, and a passion for research and innovation.
- Ability to translate complex technical concepts into practical, scalable business solutions.
Preferred Skills:
- Experience with multimodal AI systems (text, image, video), reinforcement learning, and self-supervised learning.
- Familiarity with AI ethics, explainability, and the regulatory landscape surrounding AI development.
- Experience publishing in top AI/ML conferences or contributing to open-source AI communities.
#LI-Remote
Compensation will vary based on geographical location (see below) within the United States. Individual pay is determined by the candidate's location of residence and multiple factors, including job-related skills, experience, and education.
For more information on our benefits click here.
There are different ranges applied to specific locations. The average base pay range (or OTE range for sales) in the U.S. for the position is listed below.
San Francisco Bay Area Only:
208,200.00 - 354,200.00 USD Annual
All Other Locations:
181,000.00 - 308,000.00 USD Annual
