Senior Agentic AI Architect — Pro/Low-Code Orchestrator

Cognizant

Augusta (ME)

Remote

USD 160,000 - 200,000

Full time

14 days+

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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's Intelligent Automation Practice seeks a Senior Architect to design and deliver enterprise-grade agentic AI solutions.

You will define reference architectures spanning pro-code agentic systems on Azure AI Foundry and low-code automation on Microsoft Power Platform and Copilot Studio, selecting the right pattern for each use case and translating complex business requirements into production-ready intelligent agents.

Qualifications

8+ years of cloud solution architecture experience.
2+ years designing and delivering agentic AI systems in production or near-production environments.
Demonstrable experience with both pro-code agentic systems (Azure AI Foundry, MAF) and low-code automation platforms (Copilot Studio, Power Platform).
Strong understanding of LLM capabilities and limitations: tool call reliability, context management, grounding, and responsible AI principles.
Azure certifications: AI-102 and AZ-900 required; AZ-305 and PL-200 (Power Platform) preferred.

Responsibilities

Design end-to-end reference architectures for agentic AI - covering agent topology, tool integration, memory, knowledge retrieval, and deployment across pro-code and low-code platforms.
Select and justify the appropriate agentic pattern - RAG retrieval, multi-agent handoff, reasoning loops, A2A workflows, or low-code automation - based on use-case requirements and team capabilities.
Lead engineering teams from local development and debugging through production deployment on Azure AI Foundry or Power Platform.
Guide platform and framework selection - Microsoft Agent Framework, Copilot Studio, Power Automate, LangGraph - with clear trade-off rationale per engagement.
Serve as the primary AI architecture authority in client engagements: discovery workshops, architecture reviews, and technical roadmap sessions.
Develop reusable practice IP: reference architectures, playbooks, and accelerators for rapid agentic PoC delivery.
Embed responsible AI guardrails, production readiness standards, and evaluation frameworks across all agentic deployments.