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 stakeholders.

• Assess customers' Generative AI infrastructures and their needs for agentic observability.

• Provide technical demonstrations and tailored reference architectures.

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

• Manage the complete scoping, technical milestones, and execution of customer Proofs of Concept.

• Achieve definitive technical victories and shorten sales cycles.

• Serve as a strategic liaison between enterprise field engagements and the Cisco/Splunk Product and Engineering teams.

• Compile customer feedback to influence future product roadmap priorities.

⛳️ Requirements

• A minimum of 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 designing workflows with 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, latency optimization, and LLM failure modes.

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

• Outstanding verbal and written communication skills.

• Capability to convey intricate AI concepts to both ML practitioners and C-suite executives.

• Willingness to travel 15%–25% for customer workshops, Executive Briefing Centers, and industry conferences.

• Proficiency in Python or TypeScript is preferred.

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

• Familiarity with rapidly prototyping externally facing agentic applications, interactive demonstrations, 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 is preferred, or equivalent practical professional experience.

🏝️ 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.

• Cisco restricted stock unit grants may be available.

• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees.

• 1 paid day off for the employee’s birthday.

• Paid year-end holiday shutdown.

• 4 paid days off for personal wellness.

• 16 days of paid vacation time 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 the hire date and each January 1st thereafter.

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

• Additional paid time away for critical or emergency family issues.

• Optional 10 paid volunteer days per full calendar year.

• Annual bonuses for non-sales roles, subject to Cisco’s policies.

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

• Incentive compensation with no cap once performance exceeds 100% attainment.