Solutions Engineer – Splunk

This is a fully remote position, open to applicants in California.

📋 Description

• Lead the technical discovery process and ensure architectural alignment with enterprise AI architects, data science leaders, and executive decision-makers.

• Assess customers’ Generative AI infrastructures and their requirements for agentic observability.

• Provide technical demonstrations and tailored reference architectures.

• Highlight real-time LLM benchmarking, multi-agent evaluations, tokenomics optimization, and automated safety measures.

• Take ownership of scoping, setting technical milestones, and executing customer Proofs of Concept.

• Secure definitive technical wins and expedite sales processes.

• Connect enterprise field engagements with Cisco/Splunk Product and Engineering teams.

• Compile customer feedback to shape the priorities of the product roadmap.

⛳️ Requirements

• At least 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.

• Familiarity or experience in building, deploying, or architecting workflows using agentic orchestration frameworks like LangGraph, OpenAI Agents SDK, Crew AI, or AutoGen.

• Knowledge of Generative AI architectures, including RAG, tool calling/function execution, multi-agent coordination, and latency optimization.

• Understanding of LLM failure modes, such as hallucinations, bias, and prompt injection.

• At least 2 years of experience or equivalent background in scoping, instrumenting, and executing technical PoCs leading to a definitive win.

• Outstanding verbal and written communication abilities.

• Willingness to travel 15%–25% for on-site customer workshops, Executive Briefing Centers (EBCs), and industry conferences.

• Proficiency in Python or TypeScript is preferred.

• Experience with Pandas, Streamlit, LangChain, HuggingFace, or OpenAI SDK is preferred.

• Background in rapidly prototyping externally facing agentic applications, interactive demos, or production AI workflows is preferred.

• Previous experience as a Machine Learning Engineer, Data Scientist, or Software Engineer is preferred.

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related technical field, or equivalent practical professional experience is preferred.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with a Cisco matching contribution.

• Paid parental leave.

• Short- and long-term disability coverage.

• Basic life insurance.

• Potential Cisco restricted stock unit grants.

• 10 paid holidays per full calendar year.

• 1 floating holiday for non-exempt employees.

• Paid birthday day off.

• Paid year-end holiday shutdown.

• 4 paid personal wellness days.

• 16 days of paid vacation per full calendar year for non-exempt employees.

• Flexible vacation time off program with no defined limit for eligible exempt employees.

• 80 hours of sick time off provided on hire date and each January 1st thereafter.

• Up to 80 hours of unused sick time can be carried forward.

• Additional paid time off for critical or emergency family matters.

• Optional 10 paid volunteer days per full calendar year.

• Annual bonuses for non-sales roles.

• Performance-based incentive pay for employees on sales plans.

• Opportunities for professional growth and development.