AI Solution Architect

About the role

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. Life at F5 is never dull. We are constantly identifying industry trends and disruptions, then innovating to get ahead of future customer needs-creating application services that help the world's leading organizations deliver their critical business apps faster and with the highest levels of flexibility, security, performance, and support. But our success isn't driven solely by what we do. We also care deeply about how we do it. At F5, our culture is how we live, every single day. And it's producing extraordinary results-not only for our customers, but also for our employees. We understand that your life is about more than just work, so we're committed to a culture that supports your whole life. Position Summary We are seeking a highly experienced and strategic AI Architect to lead the design, governance, and integration of enterprise-scale Artificial Intelligence (AI), Generative AI (GenAI), and Intelligent Automation solutions within the Digital Organization of F5. This role is focused on defining how AI is securely, responsibly, and cost-effectively adopted across the enterprise , not solely model development. The AI Architect will establish architectural standards, define enterprise AI patterns, govern technology decisions, and guide delivery teams in building scalable AI-enabled business capabilities. The ideal candidate combines deep technical expertise in AI/ML architecture with enterprise architecture leadership, governance, platform strategy, and business alignment. Primary Responsibilities AI Strategy, Solution Architecture & Governance (70% of time) Define and own the enterprise AI architecture roadmap aligned with business objectives and measurable KPIs such as cost optimization, productivity improvement, operational efficiency, and revenue growth. Drive enterprise AI strategy across Generative AI (GenAI), Agentic AI / Multi-Agent Systems, Predictive AI, and Intelligent Automation / Hyper - automation. Establish reusable AI architectural patterns, standards, and decision frameworks. Lead enterprise AI platform strategy including cloud, hybrid, and on-premise deployment models. Evaluate build-vs-buy and open-source-vs-commercial AI platform decisions. Architect scalable, secure, and production-ready AI solutions including LLMs, RAG, AI Agents and Multi-Agent Orchestration, NLP and Conversational AI, Intelligent Document Processing (IDP), and Predictive Analytics. Define enterprise integration patterns with ERP, CRM, ITSM, BPM, data platforms, APIs, and legacy systems. Create architecture blueprints, reference models, reusable frameworks, and governance standards. Establish enterprise AI governance frameworks covering model explainability, bias detection and mitigation, hallucination monitoring, Human-in-the-Loop (HITL) mechanisms, and AI lifecycle governance. Ensure compliance with data privacy, security, regulatory, and ethical AI standards including GDPR, CCPA, and applicable industry regulations. Partner with Security and Risk teams to establish AI security standards, including prompt injection defense and model access governance. Technology Leadership, MLOps & Stakeholder Partnership Define enterprise MLOps and LLMOps standards including feature stores, model registries, automated retraining pipelines, drift detection, and evaluation/observability frameworks. Establish CI/CD/CT (Continuous Integration / Continuous Delivery / Continuous Training) standards for AI systems. Design cost-optimized AI architectures and define ROI measurement frameworks for enterprise AI investments. Evaluate and approve AI technologies, vendors, LLM platforms, vector databases, orchestration frameworks, and tooling ecosystems. Lead enterprise AI architecture review boards and design governance processes. Mentor AI engineers, ML engineers, architects, automation developers, and platform teams. Translate business problems into scalable AI solution architectures with measurable business outcomes. Present architectural trade-offs and strategic recommendations to executive leadership. Collaborate closely with Data Engineering, Security, Infrastructure, Product Management, Legal & Compliance, Knowledge, Skills and Abilities Demonstrated expertise in designing enterprise-scale AI/ML architectures and governing AI adoption across business units. Deep understanding of Generative AI, LLMs, RAG architectures, Agentic AI workflows, and MLOps / LLMOps practice

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