Principal AI Technical Architect (AWS Bedrock & Agentic AI)

Cognizant; Chicago (IL); On-site; USD 150,000 - 195,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AI Technical Architect to drive innovation using AWS Bedrock, building autonomous agents that integrate enterprise data and APIs for complex tasks. You will lead conversations with senior leadership to shape GenAI strategy and define the art of the possible in this space.

You will design scalable, serverless AI solutions, orchestrate your models with Lambda and API Gateway, and ensure robust deployment and monitoring across systems.

Qualifications

• Proven expertise building AI-enabled architectures for enterprise data and APIs.
• Experience leading technical discussions with senior leadership on GenAI strategy.
• Hands-on familiarity with Bedrock Agents, Knowledge Bases and Guardrails.

Responsibilities

• Strategic Advisory: identify high-value autonomous AI use cases and ROI.
• Architecture Design: build scalable, serverless AI solutions on Bedrock.
• Orchestration & Execution: design action groups, integrate with external systems.
• Model Selection: evaluate Foundation Models for cost, latency, reasoning.
• Operational Excellence: oversee CI/CD pipelines and monitoring.

Skills

Agentic AI

Prompt engineering

C-Suite communication

Enterprise AI architectures

Tools

AWS Bedrock

AWS Lambda

API Gateway

OpenSearch Serverless

Job description

Job Summary

We are looking for strong AI Technical Architect to drive our innovation strategy using Amazon Web Services. This role focuses on building sophisticated, autonomous AI agents using AWS Bedrock. You will be the primary technical authority on Agentic AI, responsible for designing systems where Foundation Models (FMs) interact intelligently with enterprise data and APIs to perform complex tasks. You will lead high-stakes conversations with senior leadership to define the "Art of the Possible" regarding GenAI.

Key Responsibilities

• Strategic Advisory: Lead workshops with senior business leaders to identify high-value use cases for autonomous agents and define the ROI for AI investments.
• Architecture Design: Architect scalable, serverless AI solutions using Amazon Bedrock Agents and Knowledge Bases for RAG implementation.
• Orchestration & Execution: Design action groups and execute logic using AWS Lambda functions to allow agents to interact with external systems.
• Model Selection: Evaluate and select appropriate Foundation Models (e.g., Anthropic Claude, Amazon Titan, Meta Llama) via Bedrock based on cost, latency, and reasoning capabilities.
• Operational Excellence: Oversee the deployment pipelines (CI/CD) for AI agents and monitor performance using Amazon CloudWatch and Bedrock Guardrails.

Technical Requirements

• Agentic AI Proficiency: Deep understanding of prompt engineering for agents, chain-of-thought reasoning, and managing context windows for long-running tasks.
• Amazon Bedrock: Extensive experience configuring Agents, Knowledge Bases, and Guardrails.
• Compute & Integration: Strong command of AWS Lambda (Python/Node.js) and API Gateway for agent tool execution.
• Data Strategy: Experience with Vector Engines (e.g., OpenSearch Serverless, Aurora PostgreSQL) for RAG.
• Legacy Automation Integration: Ability to bridge the gap between cloud-native AI agents and on-premise robotic process automation.
• Preferred: Hands-on experience or architectural knowledge of UiPath and Automation Anywhere.

Soft Skills & Qualifications

• Exceptional communication skills with the ability to influence C-Suite decision-making.
• Proven track record of delivering complex, high-impact technology solutions in enterprise environments.
• Certifications: AWS Certified Solutions Architect (Professional) or AWS Certified Machine Learning Specialty is highly desirable.

Salary and Other Compensation

The base salary for this position is between $150,000 - $195,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.