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. Your Impact 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 [... source excerpt omitted ...] o share customer feedback and influence future product enhancements. Create documentation, reusable best practices, and technical assets that benefit future deployments. Minimum Qualifications 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 pla [... source excerpt omitted ...] perience with programming language such as python, Java, etc. Preferred Qualifications 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. W