Principal AI Architect — Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

Cognizant

Remote

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Work type: Remote
Location: Remote
Posted: 7 days ago

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Similar $207k

$157k most similar roles pay here $262k

This listing doesn't post a salary. Most similar roles pay $167,550–$246,150.

Based on 240 similar postings.

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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 32 open roles on FindRole.

Listed pay typically runs $134,000–$194,000 across 29 roles with salary data.

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At a glance

TL;DR · Principal AI Architect — Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

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As a senior AI Architect at Cognizant, you will lead the design and implementation of enterprise-grade AI systems using AWS Bedrock and other cutting-edge technologies across agentic AI, classical ML, NLP, and computer vision domains. Your daily tasks include architecting multi-agent orchestration pipelines, integrating tools and APIs with Lambda functions, and ensuring robust MLOps practices through CI/CD pipelines and observability frameworks like CloudWatch and X-Ray. You will work closely with the C-suite to define AI strategies and quantify ROI while leveraging a broad tech stack including AWS SageMaker, HuggingFace Transformers, PyTorch/TensorFlow, and vector databases such as OpenSearch Serverless and Pinecone. This role demands deep expertise in agentic reasoning loops, multi-agent frameworks like LangGraph and AutoGen, and proficiency with Bedrock Agents for enterprise-scale deployments.

Skills

AWS Bedrock LangGraph AutoGen CrewAI Python Node.js Lambda API Gateway Step Functions SageMaker scikit-learn HuggingFace Transformers PyTorch TensorFlow OpenSearch Serverless Aurora pgvector Pinecone CDK CloudFormation MLflow CI/CD CloudWatch X-Ray RPA UiPath Azure OpenAI Vertex AI

What you'll do

Design foundational agent loop using frameworks like LangGraph and AutoGen.
Build production multi-agent systems on AWS Bedrock with supervisor/sub-agent hierarchies.
Create Knowledge Base pipelines with vector stores for hybrid search optimization.
Engineer Lambda-backed action groups to enable agents to invoke enterprise APIs.
Architect full AI lifecycle including classical ML, NLP, computer vision, and custom model training.

What we're looking for

Deep hands-on expertise in agentic reasoning loops and multi-agent orchestration frameworks.
Proficient with AWS Bedrock Agents, Knowledge Bases, Guardrails, and inline agent patterns.
Broad experience with SageMaker for training, inference, and pipelines; core ML/NLP/CV frameworks.
Strong command of vector databases, RAG pipeline design, and event-driven architectures.
Expertise in MLOps including CI/CD tooling, AWS CDK/CloudFormation for repeatable deployments.
Experience integrating AWS-native AI with Azure OpenAI, Vertex AI, or Hugging Face platforms.