Enterprise Architect- AI focus

Location:

Tustin, CA Salary:

$140,000.00 USD Annually•$150,000.00

USD Annually Description:

Enterprise Architect•(AI Focus) Irvine, CA Fulltime Enterprise Architect•

AI Focus Experience Required:

10-16 years overall IT experience; 4-6+ years in AI/ML architecture or advanced analytics platforms; strong enterprise integration experience The Enterprise Architect (AI Focus) provides architectural leadership to assess AI readiness, define future-state AI architecture, and integrate AI capabilities into the broader enterprise ecosystem. 2. Skills Required Experience designing enterprise-scale AI/ML architectures and integrating AI services into enterprise applications Knowledge of LLM/GenAI concepts, RAG patterns, and model selection trade-offs Understanding of MLOps lifecycle concepts: reproducibility, CI/CD for ML, monitoring, and drift Knowledge of data pipelines and data readiness for AI (structured/unstructured) Experience with cloud AI services (AWS/Azure/Google Cloud Platform) and secure integration patterns Understanding of orchestration/event patterns (queues, triggers, APIs) to embed AI into workflows Familiarity with responsible AI governance concepts (auditability, policy guardrails) Awareness of PII/regulated data boundaries and access controls for AI workflows Ability to define logging/audit and approval gates for AI deployments Ability to translate AI opportunities into measurable outcomes and architecture roadmaps Strong documentation and executive communication skills Responsibilities Drive discovery and business alignment: identify AI use cases aligned with business goals; assess feasibility (technical, legal, ethical) and define measurable outcomes Design end-to-end AI architecture patterns including AI integration with enterprise apps, event flows, orchestration, and AI input/output pipelines Define data readiness and knowledge retrieval patterns (e.g., RAG) where appropriate; guide data boundaries and access controls Define security, compliance, and auditability controls for

AI:

authentication, rate limiting, prompt/response logging, and retention strategies Define model management guardrails: model selection guidance, versioning, evaluation, release governance, and rollback strategies Establish production AI lifecycle architecture with MLOps principles: automation, monitoring, drift detection, reproducibility, and operational readiness Partner with enterprise architecture/security teams to ensure AI initiatives integrate cleanly with platform governance Produce executive-ready AI architecture artifacts: target stat e, integration patterns, governance model, and phased adoption roadmap By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

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