
Solutions Engineer – Splunk
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in New York.
• Lead technical discovery and ensure architectural alignment with enterprise AI architects, data science leaders, and executive decision-makers.
• Assess customers’ Generative AI infrastructures and their observability needs.
• Provide technical demonstrations and tailored reference architectures.
• Highlight real-time LLM benchmarking, multi-agent assessments, tokenomics optimization, and automated safety measures.
• Manage the scoping, technical milestones, and execution of customer Proofs of Concept.
• Achieve significant technical wins and expedite sales cycles.
• Connect enterprise field activities with Cisco/Splunk Product and Engineering teams.
• Compile customer insights to inform product roadmap priorities.
• Facilitate enterprise adoption of Generative AI assessments, automated guardrails, and real-time runtime telemetry.
• 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 such as LangGraph, OpenAI Agents SDK, Crew AI, AutoGen, or similar tools.
• Knowledge of Generative AI architectures, encompassing RAG, tool calling/function execution, multi-agent coordination, latency optimization, as well as LLM failure modes like hallucinations, bias, and prompt injection.
• Minimum of 2 years of experience or equivalent expertise in scoping, instrumenting, and executing technical PoCs leading to a definitive win.
• Outstanding verbal and written communication skills for technical and executive audiences.
• Willingness to travel 15%–25% for customer workshops, EBCs, and industry conferences.
• Preferred: proficiency in Python or TypeScript.
• Preferred: experience with Pandas, Streamlit, LangChain, HuggingFace, or OpenAI SDK.
• Preferred: experience in rapidly prototyping externally facing agentic applications, interactive demos, or production AI workflows.
• Preferred: prior experience as a Machine Learning Engineer, Data Scientist, or Software Engineer.
• Preferred: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related technical field, or equivalent practical professional experience.
• 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, vesting after continued employment.
• 10 paid holidays per full calendar year.
• 1 floating holiday for non-exempt employees.
• Paid day off for employee birthdays.
• 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 issues.
• Optional 10 paid volunteer days per full calendar year.
• Annual bonuses for non-sales positions.
• Performance-based incentive pay for employees on sales plans.
• Opportunities for professional growth and development.
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