- Solution Design: Develop AI-driven architectural solutions that align with the overall SaaS product strategy. Collaborate with stakeholders to understand business requirements and translate them into AI-based functionalities. Drive holistic end-to-end AI architecture from data pipeline to LLM to platform components to application integration.
- System Integration: Architect the integration of AI components into the existing SaaS infrastructure, ensuring scalability, reliability, and optimal performance. Collaborate with development teams to implement these integrations effectively.
- Data Management: Design data pipelines and storage solutions for handling large volumes of data required for AI models. Ensure data security, privacy, and compliance with relevant regulations.
- Model Development and Deployment: Work closely with data scientists to design, develop, and deploy machine learning models that enhance SaaS product features. Implement best practices for model monitoring, versioning, and retraining.
- Scalability and Performance Optimization: Architect solutions that can scale horizontally to handle growing user bases. Create and optimize AI algorithms and workflows for speed, efficiency, and resource utilization.
- Security and Compliance: Implement security measures to safeguard AI models and data. Ensure compliance with relevant industry standards and regulations. Develop guidance for the use of AI in product and internal tooling.
- 5+ years of experience working as an engineer or architect with a focus on one or more of the following: machine learning, data science or natural language processing
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Preferably worked on enriching SaaS products with AI/ML functionalities
- Strong proficiency in AI technologies, machine learning, and deep learning frameworks.
- Previous experience determining measurable, revenue generating or business solving outcomes and showing how AI can drive these.
- Strategic thinking skills including the ability to lead and resolve company-wide technical discussions. Excellence at creating clarity and alignment for technical initiatives, in close partnership with our product management team.
- Software development and integration skills, as well as basic understanding of the modern cloud infrastructure used to deploy SaaS.
- Great ability to build trust through collaboration with multiple teams, articulate a vision, build consensus, and get hands-on to drive implementation.
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Artificial Intelligence Architect - Remote, United States - AvePoint
Description
About AvePoint:
Collaborate with confidence. AvePoint provides the most advanced platform to optimize SaaS operations and secure collaboration. More than 9 million cloud users rely on our solutions. Founded in 2001, AvePoint is a five-time Global Microsoft Partner of the Year and headquartered in Jersey City, New Jersey. For more information, visit .
At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you
About the role:
AvePoint is excited to provide the opportunity for a forward thinking ad innovative AI Architect who is passionate about how data lifecycle management impacts the success of how businesses operate. In this role, you will collaborate with cross-functional teams, including software developers, data scientists, and product managers, to identify, prioritize and integrate AI technologies seamlessly into our SaaS platform, while measuring effectiveness, and driving implementation.
Key responsibilities:
The ideal candidate has:
AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities.
