Solutions Engineer - Splunk (Remote)
Company: Cisco
Role summary
Solutions Engineer - Splunk (Remote) is a full-time role at Cisco in New York, New York, United States (remote). Posted 2026-10-11. Salary: USD 212,200–308,300 per year. Experience level: 2-5. No degree required.
- Job title
- Solutions Engineer - Splunk (Remote)
- Company
- Cisco
- Location
- New York, New York, United States
- Work arrangement
- remote
- Employment type
- full-time
- Category
- Software Engineering
- Salary
- USD 212,200–308,300 per year
- Experience level
- 2-5
- Degree required
- No
- Date posted
- 2026-10-11
This is a fantastic remote opportunity with a generous salary that doesn't require a degree, perfect for someone looking to grow in the tech space. You'll be at the forefront of agent observability solutions, making a real impact without the need for a traditional four-year degree.
Job description
The application window is expected to close on: 10/27/2026 Solutions Engineer – Splunk Agent Observability
The application window is expected to close on: October 26, 2026
NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
The application window is expected to close on: October 26, 2026
NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
This role can be performed anywhere in the North Eastern United States.
Meet the Team
The Splunk Agent Observability Solutions Engineering team at Cisco powers the enterprise adoption of next-generation Generative AI evaluation, automated guardrails, and real-time runtime telemetry. We serve as the technical authority guiding Global 2000 enterprises to safely develop, benchmark, and scale autonomous multi-agent systems and mission-critical LLM applications. Our team culture is deeply collaborative, intellectually curious, and customer-obsessed, combining cutting-edge GenAI research with proven enterprise pre-sales engineering rigor. Operating at the forefront of the Cisco and Splunk AI integration, you will collaborate with leading AI architects and engineering executives to pioneer production-grade trust, safety, and performance across modern enterprise AI infrastructure.
Your Impact
Lead in-depth technical discovery and architectural alignment with enterprise AI architects, data science leaders, and executive decision-makers to evaluate their GenAI stack and agentic observability requirements. Deliver high-impact technical demonstrations and customized reference architectures showcasing real-time LLM benchmarking, multi-agent evaluation, tokenomics optimization, and automated safety guardrails. Own the end-to-end scoping, technical milestones, and execution of customer Proof of Concepts (PoCs) to establish definitive technical wins and accelerate sales cycles. Act as a strategic bridge between enterprise field engagements and Cisco/Splunk Product and Engineering teams, synthesizing customer feedback to guide future product roadmap priorities.
Minimum Qualifications
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 of Generative AI architectures, including Retrieval-Augmented Generation (RAG), tool calling/function execution, multi-agent coordination, and latency optimization, and LLM Failure modes(Hallucinations, bias, and prompt injection.
Minimum 2 years of experience or equivalent experience scoping, instrumenting, and executing technical Proof of Concepts (PoCs) to a definitive win, aligned to customer business outcomes and technical champions
Exceptional verbal and written communication, with the ability to convey complex AI concepts to both hands-on ML practitioners and C-suite executives (CTOs, CDOs, VPs of Engineering).
Ability to travel between 15% and 25% for on-site customer workshops, Executive Briefing Centers (EBCs), and industry conferences (such as Splunk .conf and Cisco Live).
Preferred Qualifications
Proficiency in Python or TypeScript, along with experience utilizing modern AI and data libraries (such as Pandas, Streamlit, LangChain, HuggingFace, or OpenAI SDK).
Experience rapidly prototyping (including "vibe coding") externally facing agentic applications, interactive demos, or production AI workflows.
Prior professional experience as a Machine Learning Engineer, Data Scientist, or Software Engineer prior to transitioning to technical pre-sales.
Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related technical discipline (or equivalent practical professional experience).
THIS JOB DESCRIPTION DOES NOT APPLY FOR EMPLOYEES IN AUSTRIA, BELGIUM, FRANCE, GERMANY & NETHERLANDS
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range posted for this position is $212,200.00 to $268,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability