Principal AI Architect — Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

Cognizant is a business processes and technology services company. The Principal AI Architect will design and deliver enterprise-grade AI systems spanning agentic AI, AWS Bedrock, and the broader AI/ML spectrum, while leading architecture, model strategy, integrations, MLOps, and executive advisory engagements.

Responsibilities:

• Architect the foundational agent loop — perception, planning, tool selection, execution, self-reflection, and memory — using frameworks such as LangGraph, AutoGen, CrewAI, or custom Bedrock-native implementations. Design for goal decomposition, error recovery, and dynamic replanning in long-horizon autonomous tasks
• Build production multi-agent systems using Bedrock Agents — defining supervisor/sub-agent hierarchies, action groups, session memory, and inline agents for complex enterprise workflows
• Design Knowledge Base pipelines with vector stores (OpenSearch Serverless, Aurora pgvector, Pinecone) — covering chunking strategies, embedding models, hybrid search, and retrieval optimization
• Engineer Lambda-backed action groups (Python/Node.js), API Gateway, and Step Functions to enable agents to invoke enterprise APIs, databases, and third-party systems
• Architect and oversee the full AI lifecycle — classical ML, NLP pipelines, computer vision, fine-tuning, and custom model training on SageMaker
• Drive selection across Anthropic Claude, Amazon Titan, Meta Llama, Mistral, and open-source LLMs — evaluating latency, cost, context fit, and reasoning fidelity. Enforce Bedrock Guardrails and responsible AI controls at scale
• Define CI/CD pipelines (CDK/CloudFormation) for agent and model deployment; monitor via CloudWatch, Bedrock invocation logs, SageMaker Model Monitor, and X-Ray for cost, drift, and hallucination tracking
• Integrate AWS-native AI with Azure OpenAI, Vertex AI, or Hugging Face; bridge Bedrock agents with on-premise RPA platforms (UiPath, Automation Anywhere) via event-driven patterns
• Lead C-suite workshops to define AI strategy, shape build-vs-buy decisions, and quantify ROI across the AI portfolio