About the Role
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.
Who you are
- 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.
What you will do
- 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.
Must Haves
- 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.
Nice to Have
- 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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At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
Base salary range:
$170,000—$200,000 USD
Top Skills
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
