Senior AI Architect

Cognizant

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$174,500–$204,500 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $190k
$158k most similar roles pay here $256k

This role pays less than 62% of similar roles. Most pay $167,850–$246,150 — the shaded band above. At the midpoint, this role pays about $190k versus about $207k 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 34 open roles on FindRole.

Listed pay typically runs $130,000–$197,000 across 32 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · Senior AI Architect

Join our AI & Analytics team as an experienced AI Architect to lead the design and development of enterprise-scale Generative AI and agentic AI solutions on Google Cloud Platform. You will define end-to-end AI/ML architecture strategies, build scalable LLMs and multi-agent systems using Vertex AI services, and ensure production readiness through LLMOps pipelines. Your responsibilities include architecting RAG pipelines, leveraging GCP-native services for AI-first platforms, providing technical leadership, and collaborating with clients to drive innovation and PoCs. This role requires 15+ years of experience in AI/ML and cloud architecture, expertise in Vertex AI, BigQuery, Dataflow, and Kubernetes, as well as strong programming skills in Python and MLOps tools. Ideal candidates will have a solid understanding of containerization, CI/CD pipelines, and hands-on experience with agentic AI frameworks like LangGraph and CrewAI.

What you'll do

  • Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions.
  • Architect and implement large language model (LLM)-based applications using Vertex AI services.
  • Design and develop multi-agent AI systems using Google ADK or equivalent frameworks.
  • Build scalable Retrieval-Augmented Generation (RAG) pipelines with Vertex AI Search and BigQuery.
  • Develop LLMOps pipelines for model versioning, evaluation, fine-tuning, and deployment.

What we're looking for

  • 15+ years of AI/ML or cloud architecture experience.
  • Expertise in Google Cloud Platform (GCP) services like Vertex AI and BigQuery.
  • Proven track record designing and delivering production-grade Generative AI applications.
  • Deep knowledge of RAG architectures, embeddings, vector databases, and model evaluation strategies.
  • Experience building agentic AI systems using ADK or similar frameworks.
  • Strong programming skills in Python with MLOps tools like Vertex AI Pipelines.
  • Leadership and consulting experience working with enterprise clients.

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