Solutions Architect, AI/Automation

Accountabilities:

• 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 discipline.
• Strong expertise with LLMs, SLMs, generative AI, agentic AI frameworks, RAG, prompt engineering, AI evaluation, governance, and AI observability.
• Technical proficiency in Python, API integration, automation, workflow orchestration, vector databases, embedding models, and cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of cybersecurity operations, threat intelligence, threat research, incident response, vulnerability intelligence, and security automation.
• Ability to establish practical AI governance and responsible AI controls while balancing innovation, security, reliability, and operational requirements.
• Strong strategic thinking, architecture leadership, communication, and stakeholder management skills.
• Ability to translate emerging AI technologies into scalable, measurable solutions that deliver tangible improvements for customers and internal teams.
• Preferred professional certifications include CISSP, CISA, CISM, AWS Security Specialty, Microsoft Security certifications, or relevant AI/ML certifications.

Benefits:

• Salary: General U.S. salary range of $125,000–$180,000, with actual compensation based on factors including location, skills, and relevant professional experience.
• Work arrangement: Fully remote within the United States.
• Travel: Up to 25% travel for client engagements, conferences, strategic planning, and team collaboration.
• Healthcare: Medical, dental, and vision insurance.
• Financial benefits: 401(k) retirement program.
• Protection: Disability insurance.
• Family support: Paid parental leave.
• Time off: Generous paid time off (PTO).
• Work environment: Opportunity to work on challenging, high-impact AI and cybersecurity initiatives alongside experienced technology and security professionals.
• Growth: Exposure to emerging AI technologies, enterprise security transformation, strategic architecture, and cross-functional leadership.