Agentic AI - Senior Engineer

Job Summary Location Responsibilities

• Design and develop enterprise Generative AI solutions using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
• Define AI solution architectures and implementation approaches aligned with business and technical objectives.

Behavioral Competencies

• Demonstrates strong ownership while driving AI engineering excellence.
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.

Mandatory Skills

• Advanced GenAI Agentic Framework Concepts
• Cloud Application Integration Deployment
• Amazon Bedrock
• Agentic AI Systems
• Retrieval-Augmented Generation (RAG)
• AI Agents Tool Calling
• LangChain
• Azure OpenAI Service
• Azure AI Foundry

Mandatory Competencies

• Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
• Data AI - GEN AI - Cloud Application Integration Deployment
• Data AI - GEN AI - NumPy
• Data AI - GEN AI - Pandas
• Data AI - GEN AI - Python
• Data AI - GEN AI - Amazon Bedrock
• Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
• Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
• Data AI - GEN AI - Fine tuning Model Customization / AI Agents Tool Calling
• Data AI - GEN AI - Prompt Engineering / Vector Databases
• Cloud - AWS - AWS Lambda, AWS EventBridge, AWS Fargate
• Cloud - AWS - AWS SNS, AWS SQS, AWS Kinesis
• Development Tools and Management - Development Tools and Management - CI/CD
• Cloud - Azure - Azure Devops, Azure Pipelines, Azure CLI
• Beh - Communication and collaboration