Sr. Architect, Data Science / AI
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
A significant portion of the world's computing infrastructure runs on F5 products and systems. We seek a pragmatic, hands-on Data Science professional to partner with senior leaders, including Technical Fellows and Distinguished Engineers, to develop F5's next-generation cybersecurity, network management, and application delivery tools. The ideal candidate is a solid technical leader with deep experience working with various AI techniques, including Generational AI, and a strong track record of providing thoughtful analysis and data-driven insights for multiple business areas. This may be your job if you are passionate about discovering solutions hidden in large data sets and working with innovators to improve business outcomes.
This role will lead the usage of large data sets to identify opportunities for product and process optimization and develop models to test the effectiveness of various options to determine the best course of action. Clients supported by this Architect will include various stakeholders and functional teams, so experience effectively managing multiple simultaneous projects in various focus areas is a must. Strong experience using a variety of data mining/data analysis methods is also critical to success in this role, as is hands-on knowledge of a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.
Our Sr Architects are held to the following Responsibilities and Accountabilities:
Own the outcomes for multiple projects, leading architectural designs, solutions, development, and implementation across products, services, projects, and systems. Work cross-functionally to drive common architectural decisions.
Utilize breadth and depth of domain knowledge to develop new approaches to products, systems, services, and technologies.
Take ambiguous and deep technical problems and make them easily managed, governed, repeatable, and consumable.
Provide technical leadership by developing roadmaps, establishing architectural goals, and coordinating resources and priorities.
A recognized expert in multiple technology domains across the F5 portfolio, known as a subject matter expert, based on their contributions and technical leadership.
Consistently exhibits the ability to quickly grasp, evaluate, and integrate new ideas and technologies to foster innovation.
Strong track record of growing and influencing others, working with all levels of leadership, and fostering engagement across teams.
As a Sr Architect with a Data Science /AI specialization, more specific responsibilities for this role will include, but are not limited to:
Track and actively engage with the AI research community, including speaking, industry events, white papers, publications, etc.
Example tasks you might work on include customizing foundational LLMs to the cybersecurity domain, augmenting them to provide reliable results, and guiding others in designing and constructing AI-based applications.
Foster and drive data-driven business decisions and solutions
Mine and analyze data to optimize product development, marketing techniques, and business strategies, and work with leaders/stakeholders to identify opportunities to leverage data to drive business solutions.
Provide leadership for the development of a best-in-class data science function within F5.
Assess the efficacy and accuracy of new and existing data sources and data-gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
AI/Data Science Qualifications:
Strong problem-solving skills with an emphasis on product development
Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and application experience
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Industrial experience in fine-tuning LLMs, especially for instruction-following and coding models
Hold a master’s degree or Ph.D. in Engineering, Computer Science, or related technical field.
The ideal candidate will also have:
Knowledge of cybersecurity and programming development tools.
Experience using statistical computer languages to manipulate data and draw insights from large data sets.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Yello/Workday (ending with f5.com or @myworkday.com).
Equal Employment Opportunity