Solutions Architect, AI/Automation
New
J
JobgetherCybersecurity and AI
Fully remote within the United States.Full-TimeSenior
Salary125,000 - 180,000 USD per year
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Job Details
- Experience
- 10+ years of experience in systems architecture and security operations
- Required Skills
- PythonCloud ComputingGenerative AI
Requirements
- 10+ years of experience in systems architecture and security operations, including leading enterprise-scale architecture or security organizations.
- Proven experience deploying AI, machine learning, LLMs, agentic systems, or automation technologies in production.
- Strong background designing enterprise-scale systems architectures, security automation platforms, and intelligent workflows.
- Demonstrated ability to work with enterprise security leaders, executive stakeholders, and cross-functional teams.
- Bachelor's degree in Computer Science, Cybersecurity, Engineering, Artificial Intelligence, Data Science, or related discipline.
- Technical expertise in LLMs, SLMs, Generative AI, RAG, prompt engineering, and AI evaluation.
- Proficiency in Python, API integration, workflow orchestration, vector databases, and cloud platforms (AWS, Azure, or GCP).
- Deep understanding of cybersecurity operations, threat intelligence, and incident response.
- Ability to establish AI governance and responsible AI controls.
- Strong strategic thinking and stakeholder management skills.
Responsibilities
- 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.
- Architect retrieval-augmented generation (RAG), enterprise security knowledge systems, and automated decision-support capabilities.
- Establish standards and governance for LLMs, SLMs, agentic AI frameworks, and responsible AI.
- Evaluate AI models based on accuracy, reliability, explainability, performance, and cost efficiency.
- Partner with engineering and services teams to introduce AI-enabled security offerings.
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