Solutions Engineer – Splunk

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

📋 Description

• Spearhead technical discovery and architectural alignment alongside enterprise AI architects, data science leaders, and executive stakeholders.

• Assess customers’ Generative AI frameworks and observability needs.

• Provide technical demonstrations and tailored reference architectures.

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

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

• Achieve clear technical victories and expedite sales processes.

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

• Aggregate customer insights to inform product roadmap priorities.

⛳️ Requirements

• At least 3+ years of relevant experience in technical pre-sales engineering, solutions architecture, or customer-facing technical consulting in AI/ML, data analytics, or enterprise software.

• Familiarity with 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, covering RAG, tool calling/function execution, multi-agent coordination, latency optimization, and LLM failure modes like hallucinations, bias, and prompt injection.

• Minimum 2 years of experience or equivalent expertise in scoping, instrumenting, and executing technical PoCs to achieve a decisive win.

• Outstanding verbal and written communication skills for articulating complex AI concepts to ML professionals and C-suite executives.

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

• Preferred proficiency in Python or TypeScript.

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

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

• Previous professional 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.

• Eligibility for Cisco restricted stock unit grants, subject to vesting requirements.

• 10 paid holidays per full calendar year.

• 1 floating holiday for non-exempt employees.

• Paid employee birthday.

• Paid year-end holiday shutdown.

• 4 paid days off for personal wellness.

• 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 carried forward annually.

• 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, subject to Cisco policies.

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

• Access to a global network of doers and experts with opportunities for growth and development.