Partner Consulting, AI

Cognizant

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $162,000–$257,000 / yr
Posted: 37 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k

This role $210k

$139k most similar roles pay here $270k

This role pays more than 56% of similar roles. Most pay $162,000–$231,812 — the shaded band above. At the midpoint, this role pays about $210k versus about $197k 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.

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At a glance

TL;DR · Partner Consulting, AI

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As a Partner Consulting – AI at Cognizant Consulting, you will lead the end-to-end delivery of complex Generative AI and enterprise AI transformation programs within the Enterprise AI Consulting Practice. You will collaborate with client executives, architects, engineering teams, and security/data leaders to design, build, and deploy production-grade AI solutions that deliver measurable business value. Your responsibilities include overseeing technical decisions, establishing engineering standards, integrating AI capabilities across ERP, SCM, CRM, data platforms, and middleware layers, and coaching senior engineers. This role requires 15–20 years of experience in software engineering or solution architecture, hands-on expertise with LLM-powered applications, cloud-native architectures, and security best practices, as well as a deep understanding of enterprise data architecture and prompt engineering.

Skills

LLM-powered applications RAG pipelines cloud-native architectures embeddings vector databases enterprise platforms DevSecOps MLOps APIs microservices event-driven systems prompt and context engineering agentic systems ERP modernization cloud migration data transformation AWS Azure GCP

What you'll do

Lead multi-workstream enterprise AI and GenAI delivery programs, managing scope and risk.
Architect key technical decisions for model selection, RAG design, context schemas, and evaluation frameworks.
Establish engineering standards to ensure production-grade outcomes in quality and release readiness.
Integrate AI capabilities across ERP, SCM, CRM, data platforms, identity, and middleware layers.
Translate business requirements into clear backlogs and technical specifications for rapid iteration.

What we're looking for

15-20 years of experience in software engineering or enterprise technology delivery.
Proven track record delivering production enterprise systems in complex, regulated environments.
Hands-on expertise with LLM-powered applications and cloud-native architectures.
Strong command of embeddings, semantic search, vector databases, and RAG evaluation frameworks.
Experience integrating AI solutions with enterprise platforms and data systems.
Demonstrated leadership across large transformation programs (ERP modernization, cloud migration).
Deep understanding of enterprise data architecture, governance, lineage, and operationalization.

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