Cisco
Solutions Engineer - Splunk (Remote)
$202K–$308K
San Jose, California, US · Remote · Full-time · Posted Oct 11, 2026
- Experience
- 3+ years in specified technical customer-facing roles; 2 years scoping, instrumenting, and executing PoCs, or equivalent experience.
- Education
- Bachelor’s or Master’s degree in a related technical discipline, or equivalent practical professional experience.
About the job
Leads customer-facing technical sales engagements for Splunk’s AI observability offerings, helping enterprises evaluate, demonstrate, and adopt tools for GenAI and multi-agent systems.
What you'll do
- Discover customer requirements and align GenAI architectures with enterprise needs.
- Deliver technical demonstrations and reference architectures, and scope and execute customer Proofs of Concept (PoCs).
- Relay customer feedback to Cisco and Splunk Product and Engineering teams to inform product roadmaps.
What they ask for
- 3+ years of professional experience in technical pre-sales engineering, solutions architecture, or customer-facing technical consulting within AI/ML, data analytics, or enterprise software.
- Experience or knowledge building, deploying, or architecting workflows with agentic orchestration frameworks.
- Generative AI architecture knowledge, including RAG, tool calling/function execution, multi-agent coordination, latency optimization, and LLM failure modes.
- 2 years of experience scoping, instrumenting, and executing technical PoCs to a definitive win, or equivalent experience; strong verbal and written communication; ability to travel 15%–25%.
Nice to have
- Proficiency in Python or TypeScript and experience with modern AI and data libraries.
- Experience prototyping agentic applications, demos, or production AI workflows; prior ML Engineer, Data Scientist, or Software Engineer experience.
Pay
$212,200.00 to $268,100.00 USD base salary; $212,200.00 - $308,300.00 USD base salary and sales target incentive compensation combined (New York City Metro Area); $202,400.00 - $296,900.00 USD base salary and sales target incentive compensation combined (Non-Metro New York state & Washington state)
Tools
LangGraph, OpenAI Agents SDK, Crew AI, AutoGen, Python, TypeScript, Pandas, Streamlit
AI focus
Supports enterprise adoption of GenAI evaluation, agentic observability, LLM benchmarking, multi-agent evaluation, tokenomics optimization, and automated safety guardrails.
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