AI Architect

AI Architect (Contractor)

R&D - United States (Remote)

Reports To: Chief Information Security Officer (CISO)

Key Responsibilities:

• Architect and develop AI-powered security solutions for enterprise customers.
• Design and deploy production AI applications using LLMs, agentic AI frameworks, and RAG architectures.
• Build intelligent AI agents that automate security operations, compliance, and customer workflows.
• Develop secure, scalable AI architectures that meet enterprise security and governance requirements.
• Evaluate emerging AI technologies and define architectural standards and best practices.
• Collaborate with engineering, product, and security teams to deliver production-ready AI capabilities.
• Design AI orchestration pipelines integrating enterprise data, security telemetry, and knowledge systems.
• Establish AI governance, model evaluation, and responsible AI practices.
• Mentor engineering teams and provide technical leadership on AI architecture and implementation.

Core Competencies:

• Deep understanding of modern LLM architectures and enterprise AI application development.
• Experience designing secure AI systems for production environments.
• Expertise in agentic AI frameworks, orchestration platforms, and autonomous workflows.
• Strong knowledge of RAG, vector databases, embeddings, semantic search, and enterprise knowledge systems.
• Experience integrating AI with cybersecurity, compliance, and security operations workflows.
• Strong software architecture and distributed systems expertise.
• Ability to balance rapid innovation with enterprise-grade security, governance, and scalability.
• Excellent communication and collaboration skills across engineering, product, and executive leadership.

Experience:

• 12+ years of software engineering, platform engineering, or systems architecture experience.
• 3+ years building production AI, generative AI, or intelligent automation solutions.
• Hands-on experience with OpenAI APIs and/or open-source LLMs.
• Experience developing AI agents, multi-agent systems, or agentic workflows using modern orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
• Experience implementing retrieval-augmented generation (RAG), vector databases, embeddings, and enterprise knowledge retrieval.
• Strong Python development experience with modern API frameworks.
• Experience with cloud-native architectures, Kubernetes, distributed systems, and CI/CD automation.
• Experience integrating AI with cybersecurity, security operations, governance, compliance, or enterprise automation platforms is highly desirable.
• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field, or equivalent practical experience.

Salary Range: $190K-$230K

Employment Type: Contractor