• Serve as the technical lead for deploying and operationalizing security and AI solutions in customer or enterprise environments
• Translate business, operational, and security requirements into deployable architectures and implementation plans
• Partner with internal and external stakeholders to ensure solutions are aligned to operational goals, compliance requirements, and long-term platform strategy
• Act as a trusted advisor during onboarding, implementation, rollout, and optimization phases
• Design and implement integrations across SIEM, XDR, SOAR, case management, data platforms, and AI-enabled tooling
• Build and configure cloud-native data ingestion, normalization, and enrichment pipelines for security telemetry
• Integrate APIs, webhooks, message queues, and automation workflows across identity, endpoint, cloud, network, and application ecosystems
• Develop reusable deployment patterns, templates, and technical assets to accelerate future implementations
• Operationalize AI and automation use cases within security workflows, including alert enrichment, triage support, summarization, clustering, playbook selection, and analyst copilots
• Work with detection engineering and data teams to support the implementation of behavioral analytics, anomaly detection, risk scoring, and other AI-assisted security use cases
• Help define data requirements, feedback loops, and operational guardrails needed to support effective AI outcomes in production environments
• Ensure deployed solutions are practical, measurable, and aligned to analyst workflows and response objectives
• Implement secure and governed automation for investigation and response use cases across heterogeneous environments
• Support resiliency, observability, performance, and scale requirements for deployed solutions
• Troubleshoot integration issues, deployment blockers, and production challenges in partnership with platform, cloud, and security teams
• Improve reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices
• Collaborate across Security Operations, Security Engineering, Detection Engineering, Data Science, Infrastructure, and product or customer teams
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Mentor engineers and contribute to best practices for implementation, delivery, and technical solution design
• Provide field feedback to influence platform roadmap, product direction, and architectural standards.