Agentic Solutions Architect - Splunk (Remote)
About the role
The application window is expected to close on: 07/14/2026. This role can be performed anywhere in the Central and Eastern United States.
Responsibilities
Agentic Platform Strategy (Architect)
Reference Design & Standards: Advise on the end-to-end design for agentic systems across platforms, contributing inputs to the reference designs, patterns, and standards agents are built against, and informing system-level decisions on how agents reason, integrate, and scale.
Cross-Platform Best Practices: Define, document, and evangelize best practices for cost, performance, design, and integrations across the organization’s agent platforms, so teams build consistently and avoid duplicated effort.
Platform Selection & Build Allocation: Guide which agents are built on which platform, balancing capability, cost, integration fit, security, and maintainability, and set the criteria the organization uses to decide.
Contractor Direction & Review: Set technical direction for a contractor building agents, specifying what to build and where, and reviewing their work for quality, security, and adherence to standards.
Technical Thought Leadership & Influence: Serve as the recognized technical authority for agentic systems across field teams, contributing to reference designs and standards, mentoring engineers, and driving alignment with IT, Engineering, Cloud Operations, Security, Product, and field stakeholders through influence.
Strategic Impact: Advance Splunk’s revenue and customer-success goals by increasing technical sellers’ customer-facing time and making the agents behind demonstrations and Field Solutions Apps more capable, reliable, safe, and cost-effective.
Qualifications
Technical Skills:
3+ years of software, ML, or platform engineering experience, including a demonstrated track record of leading technical direction through influence (no direct-report or people-management requirement).
Proven ability to act as a technical authority and force multiplier (contributing to reference designs and standards, mentoring engineers, and driving adoption) without formal management authority.
Hands-on experience designing and building production agentic systems, including multi-agent orchestration and Model Context Protocol (MCP) integrations.
Experience selecting among and building across multiple agent platforms, with the judgment to match use cases to the right platform.
Strong tool and API integration skills, including designing retrieval (RAG) strategies that keep agents grounded and accurate.
Experience implementing guardrails, policy and permission models, and audit trails for autonomous systems.
Familiarity with token and cost management across multiple LLM providers, including model routing and fallback strategies.
Experience directing and reviewing the work of contractors, vendors, or peer engineers through technical review (without formal management authority).
Hands-on experience operating agents in production, including observability and monitoring with Splunk and Splunk Observability (Splunk o11y).
Experience with Splunk products (Splunk Cloud/Enterprise, Splunk IT Service Intelligence, Splunk Observability, or equivalent) for telemetry, monitoring, and observability.
Proficiency in cloud-native architectures, preferably AWS.
Experience in programming/scripting languages such as Python and Bash.
Understanding of distributed systems, microservices architecture, and API design.
Strategic & Business Skills:
Strong strategic thinking and ability to translate business objectives into technical roadmaps.
Excellent communication skills with ability to present technical concepts to non-technical stakeholders.
Track record of delivering results in fast-paced, dynamic environments.
Data-driven decision-making approach with focus on measurable outcomes.
Core Values And Mindsets
Commitment to Excellence: A dedication to delivering high-quality solutions, strengthening technical skills, and taking pride in continuous improvement to consistently raise the bar.
Adaptability / Flexibility: A growth mindset, openness to feedback, and the ability to respond effectively to new challenges and rapid change.
Collaboration: A strong team player attitude, excellent communication skills, and a commitment to empowering colleagues and fostering an open, supportive environment.
Ownership: A proactive approach to improvement, accountability for outcomes, and a drive to deliver on commitments without waiting for direction.
Innovation: A passion for creative problem-solving, technical rigor, and pushing boundaries while maintaining high standards.
Fun: An ability to embrace fun, celebrate success, and contribute to a positive and energetic culture where everyone can thrive.
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.