Senior Consulting Manager, AI Engineer

Cognizant

Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Salary
$130,000–$158,500 / yr
Posted
27 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $144k
$114k most similar roles pay here $278k

This role pays less than 92% of similar roles. Most pay $186,331–$246,150 — the shaded band above. At the midpoint, this role pays about $144k versus about $216k 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 32 open roles on FindRole.

Listed pay typically runs $134,000–$194,000 across 29 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · Senior Consulting Manager, AI Engineer

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As a Senior Manager – AI Engineer at Cognizant Consulting, you will lead the design and deployment of enterprise-grade AI solutions, focusing on LLM-powered systems and retrieval-augmented generation (RAG) pipelines. You’ll work closely with architects and engineering teams to integrate advanced AI technologies into Fortune 500 clients’ platforms, ensuring security and scalability. Key responsibilities include developing agentic workflows, optimizing RAG frameworks, and mentoring junior engineers while adhering to MLOps best practices. The role requires expertise in Python, LLM frameworks like LangChain, and cloud environments such as AWS or Azure. You must have 8-12 years of experience in AI/ML development and a track record of leading engineering teams in client-facing roles. This position offers the chance to work on innovative projects with global impact while fostering technical leadership skills.

Skills

Python LLM applications RAG architectures LangChain LlamaIndex Semantic Kernel prompt engineering AWS Azure GCP MLOps CI/CD pipelines evaluation tools observability tools monitoring tools distributed systems cloud-native architectures

What you'll do

  • Design and deploy enterprise-grade AI/LLM solutions with context handling and prompt engineering.
  • Build and optimize retrieval-augmented generation (RAG) pipelines for quality and performance.
  • Develop agentic workflows integrating APIs, tools, and data systems with security guardrails.
  • Lead technical delivery of AI solutions, ensuring code quality, testing, deployment, and optimization.
  • Mentor junior engineers, conduct code reviews, and drive best practices in AI engineering and MLOps.

What we're looking for

  • 8-12 years of experience in software engineering, AI/ML, or applied AI development.
  • Proven experience building and deploying LLM applications with RAG architectures.
  • Hands-on expertise with Python-based systems and LLM frameworks like LangChain.
  • Strong understanding of prompt engineering, context design, and security considerations.
  • Experience developing scalable AI systems and APIs in cloud environments (AWS, Azure).
  • Demonstrated leadership in technical delivery and mentoring junior engineers.
  • Familiarity with evaluation, observability, and monitoring tools for AI/LLM systems.

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