[Hiring] AI Systems Architect @Abnormal Security

We are seeking an experienced AI Systems Architect to design, implement, and guide the development of cutting-edge artificial intelligence systems. This role is pivotal in advancing our AI strategy, driving innovative research, and overseeing the implementation of robust machine learning solutions. With a strong focus on both theoretical advancements and practical system design, you will collaborate with cross-functional teams to deliver AI-powered solutions that align with business objectives.

The ideal candidate has a blend of deep technical expertise, research experience in AI/ML, and a proven track record of architecting large-scale systems in dynamic environments. This is a unique opportunity to shape the future of AI at our organization, driving value through innovation and operational excellence.

• A seasoned AI/ML expert with a passion for innovation, continuously seeking opportunities to push the boundaries of AI applications.
• Strategic thinker capable of aligning AI systems and research initiatives with business objectives to deliver measurable impact.
• Hands-on problem solver with a willingness to dive into technical details while maintaining a high-level architectural vision.
• Effective communicator who can translate complex technical concepts into actionable insights for both technical and non-technical stakeholders.
• Team player and mentor, enthusiastic about fostering a collaborative environment and guiding team members toward excellence in AI and system architecture.
• Proactive and self-motivated, thriving in dynamic environments where priorities can shift, and ambiguity is common.
• Intellectually curious and up-to-date on emerging trends in AI/ML, actively seeking new knowledge to improve systems and processes.
• Customer-obsessed with a strong focus on delivering reliable and user-friendly AI solutions that meet business and stakeholder needs.
• Results-oriented leader who values ownership and accountability, consistently delivering projects on time and with high quality.
• Ethical AI advocate who understands the importance of building systems that are secure, fair, and compliant with regulatory standards.

• 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.

• 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.

• 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.

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