AI Engineer

About the Team:

The AI Engineer reports to the Senior Director, Data Management & Analytics works within the Information Systems/Enterprise IT & Strategy organization with strong expertise in AWS cloud services, AI, and large-scale data engineering to lead the design, development, and deployment of AI-driven solutions. This is a unique opportunity for an engineer to work on the bleeding edge of Generative AI. In this role, you will move beyond simple chatbots to design, build, and deploy autonomous AI agents capable of complex reasoning and executing tasks across our enterprise business applications. You will work exclusively within the AWS ecosystem, leveraging Bedrock for LLMs and orchestrating workflows using frameworks like LangChain/LangGraph/Strands.

Key Responsibilities:

• AI Agent Development: Design, develop, and iterate on stateful AI agents and complex RAG (Retrieval-Augmented Generation) pipelines using LangChain, LangGraph, or Strands.
• LLM Integration: Leverage AWS Bedrock as the primary source for foundational models, optimizing prompt engineering and model selection for specific business use cases.
• Data for AI: You will heavily utilize AWS Redshift/RDS (data warehousing), and S3 (data lake).
• NLP Implementation: Apply Natural Language Processing techniques to extract insights from application data and business documents.
• AWS Native Deployment: Move prototypes into production using AWS best practices. This involves containerizing applications (Docker/ECR), deploying on Amazon ECS, and utilizing serverless architecture (Lambda) for event-driven agent tasks.
• Security & Governance: Implement secure IAM roles and policies to ensure agents have appropriate least-privilege access to data and services.

Collaboration: Work closely with senior engineers, Managers, and business stakeholders to translate complex business requirements into technical AI solutions.