Jobs · Information Technology · California

Enterprise Architect + AI Focus

Tata Consultancy Services · Irvine, CA · 1 wk ago
Information Technology$120k–$150k/yrFull-time

Skills

  • 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/GCP) 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 state, integration patterns, governance model, and phased adoption roadmap

Pay

Salary Range: $120,000-$150,000 a year

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