Remote Senior AI Architect - Agentic & Enterprise AI

Cognizant

Salem (OR)

Remote

USD 108,000 - 180,000

Full time

39 hours 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 in the United States is seeking a Senior AI Architect to define end-to-end Agentic AI architectures that leverage LLMs, multi-agent systems, and orchestration layers to deliver secure, scalable solutions.

You will collaborate with client stakeholders, data teams, and cross-functional engineering groups to design reference architectures for cloud-native AI applications and integrate agents with ERP, CRM, APIs, and event-driven systems.

Qualifications

  • Deep expertise in AI/ML and GenAI, including LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases, and multi-agent architectures and agent frameworks.
  • Strong programming skills in Python (primary) with hands-on experience across AI libraries.
  • Experience architecting on cloud platforms (Azure preferred) including Azure OpenAI, Azure AI Studio, and Databricks, plus AWS or GCP.
  • Experience with modern data and platform ecosystems (Databricks, Snowflake, Synapse), REST APIs, microservices, and event streaming (Kafka, Event Hub).
  • Strong DevOps and MLOps capabilities, including CI/CD pipelines, Docker, Kubernetes, monitoring, logging, and experiment tracking.

Responsibilities

  • Define end-to-end Agentic AI architecture frameworks leveraging LLMs, multi-agent systems, and orchestration layers.
  • Design autonomous AI agents capable of planning, reasoning, memory management, and tool usage.
  • Establish reference architectures for enterprise-grade AI applications that are cloud-native, scalable, and secure.
  • Integrate AI agents with enterprise systems, including data platforms, ERP, CRM, APIs, and event-driven systems.

Skills

Agentic AI architectures
LLMs & multi-agent systems
Python programming
Cloud platforms
DevOps & MLOps

Job description

Cognizant in the United States is seeking a Senior AI Architect to define end-to-end Agentic AI architectures that leverage LLMs, multi-agent systems, and orchestration layers to deliver secure, scalable solutions.

You will collaborate with client stakeholders, data teams, and cross-functional engineering groups to design reference architectures for cloud-native AI applications and integrate agents with ERP, CRM, APIs, and event-driven systems.

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