F5 AI Architect 

United States, California, San Jose 

43472512

Job Overview

AI is everywhere:one of the fastest moving technologies in recent history, andat the forefront of innovation across every industry.

The AIArchitect will be a part of the AI Center of Excellence, playing a critical role in driving innovation andAI/ML initiatives that will directly

We are looking for an experienced AI Architect to lead the design, development, and governance of AI-powered solutions within our organization. In this role, you willbe responsible fordefining scalable AI architectures, ensuring seamless integration of AI models into production systems, andbest practices. You will work closely with data scientists, ML engineers, software architects, and business stakeholders to enable AI-driven innovation whileperformance, reliability, and ethical AI principles.

This role requires a deep understanding of AI/ML systems, cloud infrastructure,practices, and enterprise AI governance.

track record

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.

Responsibilities:

• Serve as a key technical advisor on AI strategy, guiding and solutioning with product teams on AI adoption and architectural decisions

• Work with business leaders to translate AI capabilities into tangible business outcomes.

• up-to-datewith emerging AI trends, technologies, and frameworks, and assess their potential impact on the organization

• Collaborate with data scientists, ML engineers, software developers, and DevOps teams to implement AI solutions

• 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 developnew approachesto products, systems, services, and technologies.

• Design end-to-end AI architectures that support model training, deployment, monitoring, and lifecycle management.

• Take ambiguous and deep technical problems and make them easily managed, governed, repeatable, and consumable.

• 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, augmenting them to provide reliable results, and guiding others in designing and constructing AI-based applications.

• Develop and implement AI infrastructure strategies that scale across cloud (AWS, Azure, GCP) andon-premiseenvironments.

• Ensure seamless integration of AI models into existing enterprise systems, APIs, and data pipelines.

• Define reference architectures for AI-driven applications, including real-time inference, batch processing, and edge AI solutions.

• Select and implement AI frameworks, tools, and best practices that align with business needs and technical constraints.

• Provide mentorship and training on AI best practices across the company.

Qualifications

• aster’s degree or Ph.D. in Engineering, Computer Science, or related technical fieldpreferred

• The ability to become a recognized expert in multiple technology domains across the F5 portfolio, based on their contributions and technical leadership

• exhibitsthe ability to quickly grasp, evaluate, and integratenew ideasand technologies to foster innovation

• track recordof growing and influencing others, working with all levels of leadership, and fostering engagement across teams

• Strong problem-solving skills with an emphasis on product development

• Knowledge of various machine learning techniques 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 masternew technologiesand techniques.

• Industrial experience in fine-tuning LLMs, especially forinstruction-followingand coding models

Pivotal Experience &

AI Technical Acumen

• Demonstrated excellence in engineering and product deliveryrequired. Master's or PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a related field from an accredited institution a minimum requirement.

• Brings a strategic mindset to driving innovative product enhancements while thriving in fast-paced environments.

• objectives

• Strong technologyexpertisepaired with a sharp business perspective and recognized industry experience enables the individual to excel in dynamic environments.

• They deliver impactful AI/ML solutions across various business units and product lines, define programming standards, and address complex challenges to foster innovation and drive business success.