• Principal AI Technical Architect (AWS Bedrock…

    Cognizant (Dallas, TX)


    Principal AI Technical Architect (AWS Bedrock & Agentic AI)

    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.

    • AWS Stack Mastery:

    o Amazon Bedrock: Extensive experience configuring Agents, Knowledge Bases, and Guardrails.

    o Compute & Integration: Strong command of AWS Lambda (Python/Node.js) and API Gateway for agent tool execution.

    o 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.

     

    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.

     

    Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.