Senior Enterprise Architect – AI
F5
full-time
Posted on:
Location Type: Hybrid
Location: California, New York, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $194,100 - $291,200 per year
Job Level
Senior
Tech Stack
AWSAzureCloudERPGoogle Cloud PlatformMicroservices
About the role
- Design and maintain the enterprise AI reference architecture, including patterns for LLM integration, agentic workflows, GraphRAG & RAG systems, and model deployment
- Evaluate and recommend AI platforms, tools, and vendors aligned with enterprise requirements
- Define integration patterns between AI capabilities and existing enterprise systems (e.g., ERP, CRM, collaboration tools, security infrastructure), and establish technical standards for AI development, deployment, and operations
- Partner with Security, Legal, and Compliance teams to ensure AI solutions meet regulatory requirements and internal policies
- Design guardrails and monitoring frameworks for responsible AI deployment, data governance standards for AI training data, prompts, and outputs
- Create proofs-of-concept to validate architectural decisions and establish metrics frameworks to measure AI solution effectiveness and ROI
- Build and mentor a community of practice around agentic AI developments
Requirements
- 15+ years in enterprise architecture, solutions architecture, or related technical leadership roles
- 3+ years of hands-on experience with AI/ML technologies, including recent work with LLMs and generative AI
- Deep understanding of cloud platforms (AWS, Azure, or GCP) and their AI/ML services
- Experience designing systems that meet enterprise security and compliance, and strong knowledge of API design, microservices, and integration patterns
- Familiarity with AI governance frameworks, responsible AI principles, and Knowledge of data privacy regulations (GDPR, CCPA, SOC2)
- Strong background in developer productivity tools, developer experience, AI agents for coding, and MLOps
- Excellent communication skills with the ability to translate technical concepts for business audiences
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Benefits
- health insurance
- retirement plans
- professional development
- incentive compensation
- bonus
- restricted stock units
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI reference architectureLLM integrationagentic workflowsGraphRAGRAG systemsmodel deploymentAI/ML technologiesAPI designmicroservicesMLOps
Soft skills
communication skillsmentoringcollaborationtechnical leadership