Senior Frontier Lead Developer/Architect

Cognizant

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$90,000–$170,000 / yr
Posted
22 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $130k
$73k $252k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $174,600–$223,561 — the blue band above. At the midpoint, this role pays about $130k versus about $199k 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 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Senior Frontier Lead Developer/Architect

JOB TITLE: Sr. Frontier Lead Developer/Architect (Remote) The Sr. Frontier Lead Developer/Architect serves as the mid-senior architect of the Frontier pod, owning the design and governance of agentic systems within a specific domain. This role involves translating complex requirements into scalable AI solutions, mentoring Frontier Engineers, and defining AI orchestration architecture, state management, and failure-mode patterns. Key responsibilities include designing custom agents, governing permissions, and engineering enterprise knowledge bases, ontologies, and retrieval pipelines for grounding at scale. The candidate must utilize skills in agentic system architecture, RAG-at-scale, and knowledge graph engineering. Technical requirements include experience with Copilot Studio, Agentforce, Java, .NET, Spring Boot, Angular, Node.js, APIs, and microservices. The work focuses on building AI-native systems that integrate with enterprise applications while ensuring trust-layer governance and quality-assurance frameworks.

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 engineering, ontology engineering, and RAG-at-scale grounding strategies.
  • Experience in agentic test-framework design, AI security, and access controls.
  • Ability to pass the Frontier CoE assessment at the Specialist level.

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