Enterprise Architect + AI Focus

Tata Consultancy Services; Irvine (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Tata Consultancy Services is seeking an Enterprise Architect with an AI focus to join their team in Irvine, California. This role requires strong experience in AI/ML architecture and enterprise integration.

The ideal candidate will have at least 10 years of overall IT experience, with a minimum of 4-6 years specifically in AI/ML architecture, and will drive the alignment of AI initiatives with business goals. The annual salary range is $120,000-$150,000.

Qualifications

• 10-16 years overall IT experience, with 4-6+ years in AI/ML architecture.
• Strong enterprise integration experience is required.
• Familiar with security, compliance, and auditability controls for AI.

Responsibilities

• Drive discovery and align AI use cases with business goals.
• Design end-to-end AI architecture patterns and define measurable outcomes.
• Establish production AI lifecycle architecture with MLOps principles.

Skills

AI/ML architecture design

Enterprise application integration

MLOps lifecycle understanding

Cloud AI services (AWS/Azure/GCP)

Responsible AI governance

Data pipelines knowledge

Documentation and communication skills

Job description

Job Description

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.

Background

As organizations evaluates and scales AI and advanced analytics capabilities, TCS supports assessment and advisory initiatives to ensure AI adoption is secure, governed, and aligned with enterprise architecture standards.

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/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.

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