Remote Solution Architect - Agentic AI Platform

Cognizant

Pierre (SD)

Remote

USD 116,000 - 180,000

Full time

12 days ago

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking an experienced Solution Architect – Agentic AI to define enterprise architectures for AI Agents, Agent Factory, Agent Runtime, and related platforms. You will set standards, guardrails, and governance to enable scalable Agentic AI adoption across the SDLC and business domains.

You will lead architecture reviews, drive reusable capabilities, and shape MCP integration patterns while partnering with senior leaders to accelerate organizational

Qualifications

  • 20+ years of experience in software engineering and architecture.
  • 7+ years of experience in cloud-native architecture and platform engineering.
  • 5+ years of experience building AI/ML, Generative AI, or Agentic AI solutions.
  • Strong experience defining enterprise architecture, reusable frameworks, design patterns, and technical standards.
  • Experience leading enterprise-scale platform initiatives.
  • Experience establishing architecture, governance and implementation guardrails for complex technology initiatives.
  • Strong understanding of enterprise AI platforms, cloud-native architecture, and modern platform engineering concepts.
  • Demonstrated success influencing and collaborating with senior technical and business leaders.

Responsibilities

  • Define enterprise reference architectures for AI Agents, Agent Factory, Agent Runtime, AI Control Plane, and AgentOps platforms.
  • Establish architecture standards, design patterns, reusable frameworks, and implementation guardrails for Agentic AI solutions.
  • Lead the technical strategy for Agentic AI adoption across the software development lifecycle and business domains.
  • Drive architecture reviews and technical governance for enterprise AI initiatives.
  • Architect reusable agent capabilities, including memory services, context engineering, workflow orchestration, business rules engines, and tool registries.
  • Define Model Context Protocol (MCP) integration patterns and agent-to-agent communication frameworks.
  • Accelerate delivery through reusable agent assets, shared services, and standardized platform capabilities.
  • Experience with Agent Factory, Agent Runtime, AI Control Plane, or AgentOps platforms.
  • Hands-on knowledge of Model Context Protocol (MCP) and integration patterns.
  • Experience designing memory services, context engineering, workflow orchestration, business rules engines, and tool registries.
  • Understanding of agent-to-agent communication and multi-agent architecture patterns.
  • Experience developing reusable AI agent components and shared platform services to accelerate enterprise adoption.

Skills

Software engineering
Enterprise architecture
AI/ML

Job description

Cognizant Technology Solutions Corporation is seeking an experienced Solution Architect – Agentic AI to define enterprise architectures for AI Agents, Agent Factory, Agent Runtime, and related platforms. You will set standards, guardrails, and governance to enable scalable Agentic AI adoption across the SDLC and business domains.

You will lead architecture reviews, drive reusable capabilities, and shape MCP integration patterns while partnering with senior leaders to accelerate organizational

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