Senior Frontier Engineer

Cognizant

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
New York, NY
Salary
$90,000–$140,000 / yr
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $115k
$74k $244k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $150,867–$217,600 — the blue band above. At the midpoint, this role pays about $115k versus about $184k 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 408 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 266 roles with salary data.

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At a glance

TL;DR · Senior Frontier Engineer

The Sr. Frontier Engineer (Remote) joins the Frontier pod as a technical lead responsible for the design and governance of agentic systems. This role involves translating complex domain requirements into scalable AI functional specifications while owning the end-to-end delivery of AI-native systems. Key responsibilities include architecting agentic deployments on enterprise platforms, defining orchestration architectures, and engineering knowledge bases, ontologies, and retrieval pipelines for grounding at scale. The candidate will utilize technologies such as Java, .NET, Spring Boot, Angular, Node.js, APIs, and microservices. Core competencies include agentic system architecture, RAG-at-scale, knowledge graph engineering, and AI security. The position focuses on solving enterprise-level problems by building custom agents, governing data access, and designing quality-assurance frameworks to ensure specific customer outcomes within an AI-driven era.

What you'll do

  • Design and deploy custom agents and agentic workflows while governing permissions and data access.
  • Architect agentic deployments on enterprise platforms including trust-layer and cross-agent governance.
  • Define AI orchestration architecture, state management, tool-calling, and failure-mode patterns.
  • Design agentic quality-assurance frameworks using test orchestration and synthetic-data strategies.
  • Engineer enterprise knowledge bases, ontologies, and retrieval pipelines for large-scale agent grounding.
  • Translate complex domain requirements into functional AI specifications for the engineering pod.
  • Integrate AI solutions with enterprise applications using Java, .NET, Spring Boot, or Node.js.

What we're looking for

  • 7-15 years of delivery experience with deep AI-systems design experience.
  • Strong software engineering and application development background.
  • Experience with technologies such as Java, .NET, Spring Boot, Angular, Node.js, APIs, and microservices.
  • Expertise in agentic system architecture, AI orchestration, and state-management patterns.
  • Proficiency with enterprise agent platforms like Copilot Studio or Agentforce.
  • Skills in knowledge graph and ontology engineering, RAG-at-scale, and grounding strategies.
  • Experience with agentic test-framework design, AI security, and access controls.
  • Ability to pass the Frontier CoE assessment at the Specialist level.

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