Senior AI Agent Engineer

F5•San Jose, CA

1d•$192,000 - $288,000•Hybrid

About The Position

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. Position Summary We are seeking an AI Agent Engineer to join the OCMO (Office of the Chief Marketing Officer) team at F5. This role focuses on designing, building, and deploying AI agents and automation solutions that improve operational workflows across the business. You will collaborate with OCMO business stakeholders to turn operational needs into practical AI solutions, making sure those solutions are safe, reliable, and fit within the overall company AI architecture standards. Core responsibilities include building agents and apps, integrating advanced AI models, designing prompts, automations, and workflows to drive productivity gains and operational excellence. You will combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. This role also includes a necessity to influence across the company. Building tools is one thing, making sure they are designed and secured appropriately and influencing others to get approval for those tools to be deployed is the end goal. Candidates must have hands-on experience building and deploying agentic applications with modern foundational AI models from Google, OpenAI , and Anthropic , strong automation skills, and expertise in prompt engineering for ethical, user-focused AI. Problem-solving ability, repeatable solution development, and clear communication in cross-functional settings are essential. The role combines prompt engineering, agent development, and operational deployment, ensuring solutions are reliable, scalable, and aligned with enterprise governance standards. You will collaborate with OCMO business teams to refine workflows, iterate on solutions, and drive adoption, while partnering with Digital (IT) to ensure architectural alignment. Success in this role requires strong interpersonal skills, technical curiosity, the ability to translate real operational problems into AI-enabled (or non-AI-enabled) solutions, and the capability to rapidly prototype and deploy automation through short execution cycles.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field (or equivalent experience).
5+ years of engineering experience in a customer facing role, or as a software engineer with consulting experience.
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Proficiency in programming with Python, with additional experience in one or more languages such as TypeScript or Java preferred.
Proven track record of developing and deploying reliable production applications.
Proactive self-starter with strong problem-solving skills and the ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with OCMO customers and to convey technical concepts to diverse cross-functional stakeholders while maintaining a low ego and collaborative approach.
Hands-on experience working with AI frameworks and platforms such as LangChain, OpenAI APIs, Anthropic APIs, CrewAI, AutoGen, Microsoft Copilot Studio, Google AI Studio, or similar AI environments.
Hands-on experience with agentic coding platforms, such as Google Antigravity, Claude Code, or OpenAI Codex with experience in developing Skills and integrating Tools.
Familiarity with common Sales and Marketing platforms such as Salesforce, Hubspot, Marketo, Adobe suite, Tableau, ServiceNow, and other enterprise platforms.
Ability to translate business requirements into AI-enabled (and when appropriate non-AI-enabled) automation solutions.
Knowledge of AI ethics and responsible AI prompt design principles.
Problem-solving mindset and user-centric development approach, with an innate ability to translate user requirements into AI-based solutions.
Excellent interpersonal skills, high emotional intelligence, and ability to develop effective partnerships across the company to engage, align, and gain stakeholder buy-in.

Responsibilities

Discover operational workflow needs of the OCMO community which would benefit from an AI, Agentic, or automation deliverable, prioritize those needs, and execute with agility.
Have an opinion, recommend, and deliver alternative (Non-AI) solutions to meet the operational needs of the OCMO community when those solutions are superior to an AI-Enabled solution.
Develop, deploy, document, and maintain AI agents, apps, and automation solutions that improve operational workflows.
Design, test, and refine prompts and agent behaviors to consistently deliver reliable and high-quality outputs from generative AI systems.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with internal OCMO customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Collaborate with Digital (IT) to ensure solutions align with enterprise governance, security, and architecture standards and/or influence the further refinement of the governance, security, and architecture standards as necessary.
Build and deploy tailored solutions leveraging agentic AI platforms such as Microsoft Copilot, Google Gemini, and other leading enterprise AI platforms.
Operationalize automation (AI and non-AI enabled) solutions across business functions including Services, Customer Success, Sales, and Operations.
Measure solution adoption, performance, troubleshoot issues, and continuously improve agent interactions and automation workflows.
Support rapid pilot development and execution sprints to validate use cases and demonstrate value.
Internal evangelization, training, and support of the solutions you build, and any other AI technologies that would bring value to the organization.
Document best practices and help scale successful AI solutions across teams.
Partner with business stakeholders to iterate on solutions and drive adoption through enablement and feedback loops.
Assist with Security and privacy reviews as needed.