# Solutions Engineer - Splunk (Remote) at Cisco

Cisco is hiring a Solutions Engineer - Splunk (Remote) for a remote role open to applicants in United States. It pays $212k-$268k a year and Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/e074554e-4775-4329-b1c1-05747a3aa364).

AI Level 3, AI centrality 70 out of 100. Remote (New York, New York, US).

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Remote (New York, New York, US)
- Salary: $212k-$268k
- Posted: October 11, 2026
- Apply: https://jobsbylevel.com/go/e074554e-4775-4329-b1c1-05747a3aa364

## Description

The application window is expected to close on: 10/27/2026 Solutions Engineer – Splunk Agent Observability The application window is expected to close on: October 26, 2026 NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on: October 26, 2026 NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This role can be performed anywhere in the North Eastern United States. Meet the Team The Splunk Agent Observability Solutions Engineering team at Cisco powers the enterprise adoption of next-generation Generative AI evaluation, automated guardrails, and real-time runtime telemetry. We serve as the technical authority guiding Global 2000 enterprises to safely develop, benchmark, and scale autonomous multi-agent systems and mission-critical LLM applications. Our team culture is deeply collaborative, intellectually curious, and customer-obsessed, combining cutting-edge GenAI research with proven enterprise pre-sales engineering rigor. Operating at the forefront of the Cisco and Splunk AI integration, you will collaborate with leading AI architects and engineering executives to pioneer production-grade trust, safety, and performance across modern enterprise AI infrastructure. Your Impact 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. Minimum Qualifications 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 2 years 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. Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related technical discipline (or

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/solutions-engineer-splunk-remote-at-cisco-0c4c3f

Source: https://jobsbylevel.com/jobs/solutions-engineer-splunk-remote-at-cisco-0c4c3f

## Cite this page

Level. https://jobsbylevel.com/jobs/solutions-engineer-splunk-remote-at-cisco-0c4c3f.

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