Principal AI Technical Architect (AWS Bedrock & Agentic AI) Remote

Cognizant; Dallas (TX); On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Principal AI Technical Architect (AWS Bedrock & Agentic AI) to drive innovation from remote locations in the United States. You will shepherd AI agent strategies, architect scalable, serverless systems, and guide executive-level discussions on the Art of the Possible with GenAI.

Key duties include leading workshops, designing RAG-enabled solutions, and ensuring robust deployment pipelines. Strong AWS Bedrock experience and RPA integration are highly valued.

Qualifications

• Experience building autonomous AI agents with Bedrock.
• Strong foundation in prompt engineering for agents and context management.
• Architect experience bridging cloud AI with enterprise data and APIs.

Responsibilities

• Lead workshops with senior leaders to define AI use cases and ROI.
• Design scalable, serverless AI solutions using Bedrock agents and knowledge bases.
• Orchestrate interactions with external systems via Lambda and API Gateway.
• Evaluate Foundation Models and select based on cost, latency, and reasoning.
• Oversee CI/CD deployment pipelines for AI agents and monitor with CloudWatch.

Skills

Agentic AI

Amazon Bedrock

Lambda/API Gateway

Vector Engines

RPA integration

UiPath

Automation Anywhere

Education

AWS Certifications (Architect/ML)

Tools

OpenSearch Serverless

Aurora PostgreSQL

Job description

Principal AI Technical Architect (AWS Bedrock & Agentic AI) Remote

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 salary for this position is between $160,000 - $200,000k 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

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• 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.