Associate Partner Consulting, Enterprise AI

Cognizant

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
NJ
Salary
$185,000–$218,000 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $202k
$132k most similar roles pay here $235k

This role pays more than 65% of similar roles. Most pay $146,125–$218,981 — the shaded band above. At the midpoint, this role pays about $202k versus about $183k 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 37 open roles on FindRole.

Listed pay typically runs $119,000–$146,250 across 31 roles with salary data.

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At a glance

TL;DR · Associate Partner Consulting, Enterprise AI

Associate Partner Consulting, Enterprise AI joins the GenAI Consulting team to lead complex, end-to-end generative AI programs. This role involves translating ambiguous business goals into technical architecture and execution plans while managing multi-workstream delivery, including scope, risk management, and stakeholder communication. You will architect critical components such as RAG design, model selection, context schemas, and evaluation strategies while establishing engineering standards for production-grade solutions. Key responsibilities include building reusable assets like prompt libraries and acceleration playbooks, and mentoring senior engineers. The role requires expertise in LLM-powered applications, cloud-native architecture, vector databases, and semantic search. You will integrate AI capabilities with enterprise systems like ERP, SCM, and CRM platforms. Essential skills include experience with embeddings, orchestration frameworks, and navigating complex requirements regarding security, compliance, and data residency within large-scale enterprise environments.

What you'll do

  • Lead end-to-end GenAI delivery programs including scope, planning, risk management, and stakeholder communications.
  • Architect technical decisions for model selection, RAG design, context schemas, and evaluation strategies.
  • Establish engineering standards such as quality gates, testing protocols, and observability to ensure production-grade solutions.
  • Integrate AI capabilities with enterprise systems like ERP, SCM, CRM, and data platforms.
  • Translate ambiguous requirements into technical specifications, backlogs, and clear acceptance criteria.
  • Develop reusable assets including reference architectures, prompt libraries, and delivery playbooks.
  • Coach and mentor senior engineers and architects through code reviews and technical leadership.

What we're looking for

  • 10–18 years of experience in software engineering or architecture with production system delivery in enterprise environments.
  • Hands-on experience building LLM-powered applications, including RAG pipelines, tool-use agents, and multi-step workflows.
  • Proficiency in cloud-native architecture, including APIs, microservices, event-driven patterns, security, and observability.
  • Practical experience with embeddings, semantic search, vector databases, re-rankers, and evaluation frameworks for RAG quality.
  • Experience integrating AI capabilities with enterprise systems such as ERP, SCM, CRM, and data platforms.
  • A B.Tech or M.Tech in Computer Science, Engineering, or a related field.
  • Relevant cloud certifications from providers like AWS, Azure, or GCP.
  • Prior experience in client-facing consulting or embedded engineering roles within professional services firms.

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