below marketmost similar roles pay hereabove market
This role pays less than
98%
of similar roles. Most pay
$152,725–$225,375
— the blue band above.
At the midpoint, this role pays about
$96k
versus about
$189k
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
397 open roles
on FindRole.
Listed pay typically runs
$100,000–$135,000
across 262 roles with salary data.
As a Frontier Engineer, you will join a team focused on designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will work as a polyglot engineer to build scalable APIs, user interfaces, and enterprise-scale AI agent solutions featuring trust layers and grounding strategies. Your daily responsibilities include developing software across the full lifecycle, managing CI/CD pipelines, and performing database engineering. You will utilize a diverse technology stack including Java, Spring Boot, Angular, React, Node.js, and Python. The role requires hands-on expertise with Generative AI tools like Devin, Claude, and GitHub Copilot, alongside cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform. You will specifically address technical challenges involving Retrieval-Augmented Generation at scale, Model Context Protocol, and ontology engineering.
Use Generative AI tools like Devin, Claude, and GitHub Copilot to accelerate software development and testing.
Develop and enhance scalable API and user interface solutions using Java, Spring Boot, Angular, React, Node.js, and Python.
Design and build cloud-native solutions and CI/CD pipelines across AWS, Microsoft Azure, and Google Cloud Platform.
Architect enterprise-scale AI agent solutions featuring trust layers, grounding strategies, and cross-agent governance frameworks.
Implement Retrieval-Augmented Generation (RAG) at scale and manage knowledge graphs and ontology engineering.
Execute application migrations and database engineering across multiple cloud environments.
Deliver innovative technology pilots as a polyglot engineer across software, quality, cloud, and database engineering disciplines.
What we're looking for
8+ years of professional software engineering experience.
Hands-on experience applying Generative AI tools such as Devin, Claude, Codex, or GitHub Copilot to engineering activities.
Polyglot development experience with Java, Spring Boot, Angular, React, Node.js, and/or Python.
Experience designing, developing, and integrating APIs within modern distributed or cloud-native applications.
Expertise with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) at scale, grounding strategies, knowledge graphs, and ontology engineering.
Experience designing or developing cloud-native solutions using AWS, Microsoft Azure, and/or Google Cloud Platform.
Experience implementing CI/CD pipelines and DevOps practices within cloud-native engineering environments (preferred).
Agentic System Architecture
AI Orchestration
RAG
Knowledge Graph
Ontology Engineering
Copilot Studio
Agentforce
Java
Spring Boot
.NET
Node.js
Angular
APIs
Microservices
MCP
synthetic-data
AI Security
Microsoft AI Platform
Copilot
Copilot Studio
Agent 365
Work IQ
Fabric IQ
Foundry IQ
AI Agents
Agent Orchestration
data-architecture
Security
Compliance
Telemetry