openleverjobgether
Solutions Architect, AI/Automation
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-24T10:25:10.058000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:2238c006-c9f5-4ce7-b231-f7a7f9ed6e65
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solutions Architect, AI/Automation based in the United States. This is a senior technology leadership opportunity focused on transforming cybersecurity through AI, automation, and intelligent security operations. You will shape the architecture and roadmap for AI-powered threat intelligence, research, security operations, and managed services. The role combines enterprise architecture expertise with hands-on experience across LLMs, agentic AI, automation, and security engineering. You will design scalable capabilities that improve analyst productivity, accelerate investigations, and strengthen client security outcomes. Working closely with executive, engineering, product, security, and service delivery teams, you will turn emerging technologies into production-ready solutions. The position offers significant influence over AI strategy, governance, innovation, and the evolution of security services. This is a remote U.S. role with up to 25% travel for client engagements, conferences, strategic planning, and collaboration. Define and execute the strategic roadmap for AI-driven security services, threat intelligence, threat research, and security automation. Design AI-powered security architectures spanning detection, investigation, response, remediation, reporting, and managed service workflows. Build intelligent threat intelligence and research platforms capable of collecting, correlating, enriching, and analyzing information from diverse sources. Develop autonomous threat research agents, security copilots, investigative assistants, and AI-enabled workflows that support analysts, threat hunters, and incident responders. Architect retrieval-augmented generation (RAG), enterprise security knowledge systems, intelligent orchestration, and automated decision-support capabilities. Establish standards and governance for LLMs, SLMs, embeddings, agentic AI frameworks, model evaluation, observability, lifecycle management, responsible AI, and security controls. Evaluate AI models and technologies based on accuracy, reliability, explainability, security, performance, scalability, and cost efficiency. Design cloud-based and air-gapped AI deployments that can support enterprise customers with different regulatory and security requirements. Transform managed security services by automating threat detection, alert analysis, investigations, reporting, compliance monitoring, and client communications. Create reusable automation and orchestration frameworks that improve operational efficiency, response times, consistency, and service quality at scale. Partner with product engineering and product services teams to introduce AI-enabled security offerings and streamline the implementation and management of security products and services. Collaborate with security operations, threat intelligence, engineering, managed services, sales, and executive stakeholders to drive adoption and measurable business outcomes. Monitor success through improvements in automation, investigation effort, MTTD, MTTR, threat research efficiency, service margins, client satisfaction, and autonomous security capabilities. Requirements: 10+ years of experience in systems architecture and security operations, including extensive experience leading enterprise-scale architecture or security operations organizations. Proven experience deploying AI, machine learning, LLMs, agentic systems, or automation technologies in production environments. Strong background designing enterprise-scale systems architectures, security automation platforms, and intelligent security workflows. Demonstrated ability to work directly with enterprise security leaders, executive stakeholders, clients, and cross-functional technology teams. Bachelor's degree in Computer Science, Cybersecurity, Engineering, Artificial Intelligence, Data Science, or a related technical discip
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