Forward Deployed Engineer- Splunk

The application window is expected to close on: 09/30/2026 Meet the Team The Splunk Agent Resilience team is defining the future of AI resilience. Together our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving reliability and reducing risks. This unified approach empowers our customers to expertly deploy and manage AI-powered applications with enhanced observability and control. As a Forward Deployed Engineer (FDE), you'll work at the intersection of software engineering, customer engagement, and product innovation to help some of the world's largest enterprises successfully deploy AI into production. You'll partner closely with external customers to solve complex technical challenges while collaborating with internal Product and Engineering teams to improve the platform based on real-world customer needs. If you enjoy solving hard engineering problems, working directly with customers, and building technology that scales beyond a single implementation, we'd love to hear from you.

As a Forward Deployed Engineer, you will: Partner with enterprise customers to understand technical requirements and business goals. Design scalable AI solution architectures and guide customers through production deployments. Build integrations, prototypes, and reusable tools that accelerate customer success. Lead technical workshops, architecture discussions, and troubleshoot complex production issues. Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements. Create documentation, reusable best practices, and technical assets that benefit future deployments.

Bachelor’s degree in Computer Science or a related technical field, with 3+ years of relevant experience, or equivalent practical experience. Software engineering experience building production-grade applications. Experience with APIs, distributed systems, cloud platforms, or backend development. Experience with AI tools such as Claude Code, Codex, cursor, etc. Troubleshooting and problem-solving skills across multiple layers of the technology stack. AI, Machine Learning, or developer platforms experience. Experience with programming language such as python, Java, etc.

Experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production. Experience with Kubernetes, cloud infrastructure, observability, or MLOps. Experience building customer-facing technical solutions or integrations. Experience creating reusable developer tools, frameworks, or open-source contributions. Consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments. Excellent communication skills and the ability to work directly with enterprise customers. Comfortable working in fast-paced, ambiguous environments. Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.  We are Cisco, and our power starts with you.  Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,000.00 to $222,600.00 and reflects the projected salary range for new hires in this