Solutions Engineer – Splunk

Job Description:

• Lead technical discovery and architectural alignment with enterprise AI architects, data science leaders, and executive decision-makers
• Evaluate customers’ Generative AI stacks and agentic observability requirements
• Deliver technical demonstrations and customized reference architectures
• Showcase real-time LLM benchmarking, multi-agent evaluation, tokenomics optimization, and automated safety guardrails
• Own scoping, technical milestones, and execution of customer Proofs of Concept
• Establish definitive technical wins and accelerate sales cycles
• Bridge enterprise field engagements with Cisco/Splunk Product and Engineering teams
• Synthesize customer feedback to guide product roadmap priorities
• Support enterprise adoption of Generative AI evaluation, automated guardrails, and real-time runtime telemetry

Requirements:

• 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 with Generative AI architectures, including RAG, tool calling/function execution, multi-agent coordination, latency optimization, and LLM failure modes such as hallucinations, bias, and prompt injection
• Minimum 2 years of experience or equivalent experience scoping, instrumenting, and executing technical PoCs to a definitive win
• Exceptional verbal and written communication skills for technical and executive audiences
• Ability 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 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 related technical discipline, 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
• Potential Cisco restricted stock unit grants, vesting following continued employment
• 10 paid holidays per full calendar year
• 1 floating holiday for non-exempt employees
• Paid employee 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 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
• Performance-based incentive pay for employees on sales plans
• Opportunities for professional growth and development