Senior Agentic AI Architect (Pro/Low-Code on Azure)

Cognizant; Juneau (AK); Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant's Intelligent Automation Practice seeks a Senior Architect to design and deliver enterprise-grade agentic AI solutions across pro-code and low-code platforms, including Azure AI Foundry and Microsoft Power Platform.

You will define reference architectures, select patterns like RAG and multi-agent orchestration, and guide deployments on Azure services while ensuring responsible AI practices and client-facing engagements.

Qualifications

• 8+ years of cloud solution architecture experience.
• Proven design of agentic AI systems using Azure Foundry and low-code platforms.
• Client-facing delivery in consulting or services environments.

Responsibilities

• Design end-to-end reference architectures for agentic AI across pro-code and low-code platforms.
• Select and justify the appropriate agentic pattern (RAG, multi-agent, reasoning loops) based on use-case requirements.
• Lead engineering teams from local development through production deployment on Azure Foundry or Power Platform.
• Guide platform and framework selection (MAF, Copilot Studio, Power Automate, LangGraph) with trade-off rationale.
• Serve as the primary AI architecture authority in client engagements: discovery workshops, architecture reviews, roadmaps.

Skills

Cloud solution architecture

Leadership & delivery

Client-facing consulting

Education

Azure AI Foundry certifications (AI-102, AZ-900, AZ-305, PL-200)

Tools

Azure AI Foundry

MAF (Microsoft Agent Framework)

Copilot Studio

Power Platform

Dataverse

Azure OpenAI SDK

Azure CLI

Job description

Cognizant's Intelligent Automation Practice seeks a Senior Architect to design and deliver enterprise-grade agentic AI solutions across pro-code and low-code platforms, including Azure AI Foundry and Microsoft Power Platform.

You will define reference architectures, select patterns like RAG and multi-agent orchestration, and guide deployments on Azure services while ensuring responsible AI practices and client-facing engagements.