Principal AI Technical Architect (AWS Bedrock...

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., * 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.

• 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.

The base salary for this position is between $150,000- $164,000 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 : 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