Principal AI Technical Architect

Cognizant

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Work type
On-site
Location
Dallas, TX
Posted
1 day ago
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Confirmed live today

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Similar $221k
$159k $274k
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This listing doesn't post a salary. Most similar roles pay $184,975–$256,837.

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 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Principal AI Technical Architect

The Principal AI Technical Architect (AWS Bedrock & Agentic AI) serves as the primary technical authority for designing sophisticated, autonomous AI agents. You will lead workshops with senior leadership to identify high-value use cases and define the art of the possible regarding generative AI. Your daily responsibilities include architecting scalable, serverless solutions using Amazon Bedrock Agents and Knowledge Bases for RAG implementation. You will design action groups, execute logic via AWS Lambda functions, and select foundation models like Anthropic Claude, Amazon Titan, or Meta Llama. Technical requirements include proficiency in prompt engineering, chain-of-thought reasoning, and vector engines like OpenSearch Serverless. You must bridge cloud-native AI agents with on-premise robotic process automation, potentially utilizing UiPath or Automation Anywhere to solve complex enterprise data integration problems.

What you'll do

  • Lead workshops with senior business leaders to identify high-value use cases and define ROI for AI investments.
  • Architect scalable, serverless AI solutions using Amazon Bedrock Agents and Knowledge Bases for RAG.
  • Design action groups and execute logic using AWS Lambda functions to connect agents with external systems.
  • Evaluate and select Foundation Models based on cost, latency, and reasoning capabilities.
  • Oversee deployment pipelines and monitor agent performance using Amazon CloudWatch and Bedrock Guardrails.
  • Manage prompt engineering, chain-of-thought reasoning, and context window management for long-running tasks.
  • Integrate cloud-native AI agents with on-premise robotic process automation systems.

What we're looking for

  • Deep understanding of prompt engineering for agents, chain-of-thought reasoning, and managing context windows for long-running tasks.
  • Extensive experience configuring Amazon Bedrock Agents, Knowledge Bases, and Guardrails.
  • Strong command of AWS Lambda (Python/Node.js) and API Gateway for agent tool execution.
  • Experience with Vector Engines such as OpenSearch Serverless or Aurora PostgreSQL for RAG.
  • Ability to bridge cloud-native AI agents with on-premise robotic process automation.
  • Hands-on experience or architectural knowledge of UiPath and Automation Anywhere (preferred).
  • Exceptional communication skills with the ability to influence C-Suite decision-making.
  • AWS Certified Solutions Architect (Professional) or AWS Certified Machine Learning Specialty (preferred).

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