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# Solutions Engineer - Splunk (Remote)

- **Company:** Cisco Systems, Inc.
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $212,200.0 - $268,100.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Python (Programming Language), Machine Learning, OpenAI, TypeScript, Enterprise Software Applications, LangChain, Large Language Models, Multi-Agent Systems, Generative AI, Pandas, HuggingFace, Data Analytics, AutoGen, Streamlit Framework, Splunk, Automation Anywhere, Cisco
- **Published:** October 11, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88593471/1

## About the Role

* Minimum 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 (such as LangGraph, OpenAI Agents SDK, Crew AI, AutoGen, or equivalent tools).

 * Experience of Generative AI architectures, including Retrieval-Augmented Generation (RAG), tool calling/function execution, multi-agent coordination, and latency optimization, and LLM Failure modes(Hallucinations, bias, and prompt injection.

 * Minimum 2years of experience or equivalent experience scoping, instrumenting, and executing technical Proof of Concepts (PoCs) to a definitive win, aligned to customer business outcomes and technical champions

 * Exceptional verbal and written communication, with the ability to convey complex AI concepts to both hands-on ML practitioners and C-suite executives (CTOs, CDOs, VPs of Engineering).

 * Ability to travel between 15% and 25% for on-site customer workshops, Executive Briefing Centers (EBCs), and industry conferences (such as Splunk .conf and Cisco Live).

Preferred Qualifications

 * Proficiency in Python or TypeScript, along with experience utilizing modern AI and data libraries (such as Pandas, Streamlit, LangChain, HuggingFace, or OpenAI SDK).

 * Experience rapidly prototyping (including "vibe coding") externally facing agentic applications, interactive demos, or production AI workflows.

 * Prior professional experience as a Machine Learning Engineer, Data Scientist, or Software Engineer prior to transitioning to technical pre-sales.

## Description

Lead in-depth technical discovery and architectural alignment with enterprise AI architects, data science leaders, and executive decision-makers to evaluate their GenAI stack and agentic observability requirements. Deliver high-impact technical demonstrations and customized reference architectures showcasing real-time LLM benchmarking, multi-agent evaluation, tokenomics optimization, and automated safety guardrails. Own the end-to-end scoping, technical milestones, and execution of customer Proof of Concepts (PoCs) to establish definitive technical wins and accelerate sales cycles. Act as a strategic bridge between enterprise field engagements and Cisco/Splunk Product and Engineering teams, synthesizing customer feedback to guide future product roadmap priorities.