Sr AI Architect, Application Security

New
J
JobgetherCybersecurity, AI
Primarily remote working environment, open to candidates based anywhere in the United States.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
A high school diploma with at least seven years of relevant experience, a bachelor's degree with at least three years of experience, or a master's degree in a relevant discipline. At least three years of experience in security architecture, application security, software engineering, or platform engineering; at least one year in enterprise consulting or technical advisory roles. Preferred: more than seven years of combined IT and information security experience.
Required Skills
PythonJavascriptTypeScriptPrompt Engineering

Requirements

  • Meet one of the stated education and experience combinations: high school diploma with at least seven years of relevant experience, bachelor's degree with at least three years of experience, or a master's degree in a relevant discipline.
  • Have at least three years of experience in security architecture, application security, software engineering, or platform engineering, with ownership of system-level architectural decisions.
  • Have at least one year of experience in enterprise consulting or technical advisory roles, working directly with clients and senior stakeholders.
  • Demonstrate hands-on experience designing and building AI agents and agentic systems.
  • Have experience with orchestration frameworks, prompt engineering, tool and function calling, MCP servers, retrieval-augmented generation, context management, and evaluation frameworks.
  • Have development and scripting capabilities in Python, TypeScript, JavaScript, or comparable languages.
  • Have practical experience with LLM APIs and SDKs such as OpenAI, Anthropic, Amazon Bedrock, or Azure OpenAI.
  • Understand secure architecture for AI-native and agentic systems, including the OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic Applications.
  • Have working knowledge of application security assessments, threat modeling, secure code reviews, architecture reviews, and Secure SDLC practices.
  • Preferred: experience delivering enterprise AI strategy, AI governance, or responsible AI advisory engagements, with familiarity with NIST AI Risk Management Framework, ISO/IEC 42001, or the EU AI Act.
  • Preferred: experience as a forward-deployed, embedded, or resident architect alongside client engineering teams; training delivery; AI vendor partnerships; or DevSecOps, platform engineering, MLOps, or LLMOps.
  • Preferred: relevant AI, application security, or enterprise security certifications; certification is advantageous but not mandatory.

Responsibilities

  • Define the architecture, roadmap, and secure design of an agentic delivery platform, including agents, prompts, skills, MCP servers, integrations, and orchestration workflows.
  • Design, build, and maintain AI-powered capabilities, including agent workflows, retrieval strategies, context management, tool integrations, and evaluation frameworks.
  • Apply secure-by-design principles by conducting threat models, enforcing least-privilege access, setting autonomy boundaries, protecting client data, and implementing security controls.
  • Advise enterprise clients on AI strategy, governance, responsible AI practices, threat modeling, secure reference architectures, and implementation roadmaps.
  • Collaborate with client engineering, platform, data science, and security teams to assess and strengthen application and AI architectures.
  • Develop and deliver technical training, workshops, and enablement programs on secure AI development, agentic security, prompt injection, AI governance, and AI-assisted development tools.
  • Evaluate emerging AI capabilities, participate in technical partner programs, and translate developments into practical solutions and services.
  • Establish architectural standards, review technical designs, mentor consultants, and support service offerings and client engagements.
  • Contribute to AI and application security research through presentations, articles, whitepapers, webinars, and open-source initiatives.
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