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Solutions Engineer - Splunk (Remote)

Reposted 10 Days Ago
In-Office or Remote
Hiring Remotely in New York, NY, USA
202K-308K Annually
Mid level
In-Office or Remote
Hiring Remotely in New York, NY, USA
202K-308K Annually
Mid level
Lead technical discovery and architectural alignment for enterprise GenAI and agentic observability solutions. Deliver demonstrations and reference architectures covering LLM benchmarking, multi-agent evaluation, tokenomics, and safety guardrails. Own customer Proofs of Concept from scoping through technical success, collaborate with Product and Engineering on roadmap priorities, and communicate complex AI concepts to practitioners and executives. The role requires customer travel across the Northeastern United States.
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The application window is expected to close on: 11/19/2026

Solutions Engineer – Splunk Agent Observability 

The application window is expected to close on: October 31 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). 
  • Willingness and ability to travel within assigned territory to meet business and customer engagement requirements


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 coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 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, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$212,200.00 - $308,300.00

Non-Metro New York state & Washington state:

$202,400.00 - $296,900.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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