Consulting Principal, AI Architect

Cognizant

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$122,400–$194,000 / yr
Posted
55 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $158k
$106k most similar roles pay here $271k

This role pays less than 86% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $158k 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 31 open roles on FindRole.

Listed pay typically runs $137,000–$194,000 across 28 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · Consulting Principal, AI Architect

As a Consulting Principal for AI & GenAI Platforms at Cognizant Consulting, you will lead client-facing initiatives focused on generative AI, RAG pipelines, and advanced data platforms in regulated industries. You will collaborate with clients, consulting leaders, architects, and delivery teams to design and deliver scalable, production-grade AI solutions while ensuring compliance and security. Key responsibilities include translating business objectives into actionable use cases, guiding end-to-end solution delivery from discovery through implementation, and integrating AI solutions with enterprise data platforms and cloud infrastructure. The role requires extensive experience in AI/analytics consulting, hands-on expertise in generative AI design, knowledge of cloud platforms like AWS, Azure, or GCP, and familiarity with responsible AI practices. Strong collaboration skills and the ability to mentor junior team members are essential for success in this dynamic environment.

What you'll do

  • Lead the design and delivery of generative AI solutions for enterprise clients.
  • Translate business objectives into actionable AI use cases and solution roadmaps.
  • Ensure end-to-end AI solution delivery is secure, compliant, and fits regulated environments.
  • Integrate AI solutions with enterprise data platforms and cloud infrastructure.
  • Support business development by contributing to proposals and client presentations.

What we're looking for

  • 12+ years of experience in AI/analytics consulting or digital transformation.
  • Hands-on expertise in designing generative AI solutions, including RAG pipelines.
  • Deep knowledge of cloud platforms (AWS, Azure, GCP) and enterprise data platforms.
  • Proven ability to work with client stakeholders on requirement definition and delivery management.
  • Experience operating within regulated industries such as financial services or healthcare.
  • Familiarity with AI governance frameworks and responsible AI practices.
  • Strong collaboration skills and the ability to mentor junior team members.

More like this

Similar roles

Consulting Principal, AI Architect

Cognizant

Remote (Charlotte, North Carolina, US) 26 days ago $122,400$194,000
AWS Azure GCP Snowflake Databricks Microsoft Fabric RAG Vector databases CI/CD MLOps LLMOps Generative AI Responsible AI Model risk management Bias mitigation Explainable AI
Remote

AI Solutions Architect

SpaceX

Remote (US) 12 days ago $234,000$247,000
Snowflake Python ERP POS CRM APIs Docker CI/CD Kubernetes PostgreSQL AWS Git Swagger Terraform GraphQL
Remote

AI Solutions Architect

SpaceX

Remote (Ontario, Canada) +3 12 days ago $216,000$228,000
Python SQL Snowflake ERP POS APIs Data Modeling CI/CD Kubernetes Docker AWS Git Swagger Postman Jira Confluence Terraform Prometheus Grafana
Remote

Solutions Architect, Applied AI Builder

Nvidia

Santa Clara, CA 71 days ago $152,000$241,500
Python TypeScript Go Rust C++ Synthetic data generation GPU-backed inference systems Multi-agent workflows Orchestration patterns Complex long-running task systems MCP A2A-style communication patterns Secure execution Sandboxing Secrets handling Auditability CI/CD