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 end-to-end scoping, technical milestones, and execution of customer Proofs of Concept
• Establish definitive technical wins and accelerate sales cycles
• Act as a strategic bridge between enterprise field engagements and Cisco/Splunk Product and Engineering teams
• Synthesize customer feedback to guide future product roadmap priorities

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, or AutoGen
• Experience with Generative AI architectures, including RAG, tool calling/function execution, multi-agent coordination, latency optimization, and LLM failure modes
• Minimum 2 years of experience or equivalent experience scoping, instrumenting, and executing technical PoCs to a definitive win
• Exceptional verbal and written communication skills
• Ability to communicate complex AI concepts to ML practitioners and C-suite executives
• Ability to travel 15%–25% for customer workshops, Executive Briefing Centers, and industry conferences
• 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 a related technical discipline 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 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 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