Ai Systems Architect

Summary

Join Abnormal Security as an experienced AI Systems Architect to design, implement, and lead the development of cutting-edge AI systems. This pivotal role involves advancing our AI strategy, driving innovative research, and overseeing the implementation of robust machine learning solutions. You will collaborate with cross-functional teams to deliver AI-powered solutions aligned with business objectives. The ideal candidate possesses deep technical expertise, research experience in AI/ML, and a proven track record of architecting large-scale systems. This opportunity allows you to shape the future of AI, driving value through innovation and operational excellence. The role requires a blend of technical skills, leadership abilities, and a commitment to ethical AI practices.

Requirements

• Experience: 10+ years in technology roles, with at least 5 years focused on AI/ML system design and deployment
• Machine Learning Expertise: In-depth knowledge of ML algorithms, frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and tools for model development and optimization
• System Architecture: Proven experience architecting and implementing large-scale AI/ML systems in cloud and on-premises environments
• Programming Proficiency: Strong coding skills in Python, Java, or similar languages, with a focus on building scalable AI solutions
• Data Engineering: Expertise in designing and managing data pipelines, storage systems, and distributed computing frameworks (e.g., Hadoop, Spark)
• Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Project Management: Strong organizational skills with a track record of leading AI/ML initiatives from ideation to production

Responsibilities

• Architect AI Systems: Design scalable, high-performance AI and ML systems that meet business and technical requirements, ensuring they are secure, robust, and efficient
• Research and Innovation: Lead research initiatives to explore emerging AI and ML technologies, contributing to the organization’s innovation pipeline and AI roadmap
• System Integration: Develop strategies for integrating AI/ML solutions with existing enterprise systems, ensuring seamless workflows and data compatibility
• Collaboration: Partner with technical experts and business stakeholders to translate business requirements into actionable system designs and prototypes
• Data Strategy: Define and implement data pipelines and architectures that support machine learning operations, ensuring data quality and accessibility
• Governance and Compliance: Establish guidelines for AI implementations, security, and compliance with regulatory standards
• Mentorship and Leadership: Mentor team members on AI/ML best practices and system architecture principles, fostering a culture of technical excellence

Preferred Qualifications

• Advanced degree in Computer Science, Artificial Intelligence, or a related field
• Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker)
• Familiarity with ethical AI principles and practices for responsible AI development
• Knowledge of emerging AI trends such as Generative AI, federated learning, or edge AI
• Certifications in cloud platforms like AWS, Azure, or Google Cloud with an AI/ML focus

Benefits

• Bonus
• Restricted stock units (RSUs)
• Benefits