Consulting Principal Enterprise Architect, AI Specialty

Cognizant

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$165,000–$194,000 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $180k
$150k $273k
below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $170,000–$248,562 — the blue band above. At the midpoint, this role pays about $180k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 231 open roles on FindRole.

Listed pay typically runs $104,000–$139,000 across 151 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · Consulting Principal Enterprise Architect, AI Specialty

JOB TITLE: Consulting Principal Enterprise Architect — AI Specialty (Platforms & Services / Hi-Tech) As a Consulting Principal Enterprise Architect — AI Specialty (Platforms & Services / Hi-Tech), you will join the Enterprise Architecture team to serve as the senior AI architecture authority for a portfolio of Platforms & Services and Hi-Tech accounts. You will define enterprise-wide AI visions, target-state roadmaps, and reference architectures for GenAI and autonomous agentic frameworks. Your daily responsibilities include architecting scalable, secure, and explainable systems, standardizing reusable building blocks like RAG pipelines and vector stores, and building hands-on proofs of concept. You will utilize Python, LangChain, LlamaIndex, MLflow, PyTorch, TensorFlow, and Hugging Face across AWS, Azure, and GCP. You must navigate complex domain contexts including SaaS, fintech payments, and semiconductor manufacturing while ensuring responsible-AI practices and compliance with PCI-DSS and SOX.

What you'll do

  • Define enterprise-wide AI architecture visions and target-state roadmaps for client accounts.
  • Architect scalable, secure, and explainable multi-layered AI systems and autonomous agentic frameworks.
  • Standardize reusable building blocks for LLM onboarding, RAG pipelines, and vector stores.
  • Build hands-on proofs of concept and prototypes to validate technical feasibility and de-risk decisions.
  • Establish architecture governance, responsible-AI practices, and domain-specific compliance standards.
  • Provide technical leadership and mentorship to solution architects and engineering teams.
  • Lead technical conversations and discovery workshops with client executives up to the C-level.
  • Support pre-sales activities and solutioning for complex enterprise programs.

What we're looking for

  • 12–15+ years in IT/enterprise architecture, including experience with large, complex programs and deep TOGAF practice.
  • Proven track record architecting enterprise-grade AI solutions on cloud-native architectures (AWS, Azure, and/or GCP).
  • Experience architecting GenAI platforms, ML model deployment, RAG pipelines, and autonomous/agentic AI frameworks.
  • Substantial experience serving Platforms & Services and/or Hi-Tech clients with deep domain depth in at least one area.
  • Ability to personally build proofs of concept and prototypes using Python, notebooks, agent/LLM SDKs, and cloud services.
  • Experience in pre-sales, solutioning, executive engagement, and responsible-AI, data privacy, and model governance.
  • Experience with real-time/low-latency distributed systems, data architecture, and streaming (Kafka/Spark) (preferred).
  • Hands-on experience with LangChain/LlamaIndex, vector databases, MLflow, PyTorch/TensorFlow, or Hugging Face (preferred).

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