AI Specialist III - Only W2

Position: AI Specialist III Experience: 9+ Years Location: Charlotte (Hybrid) Must Have: AWS Bedrock, LLM (Claude preferred), Python/lambdas Visa: USC, GC and EAD - Preferred Locals (Only W2) JD Experience: 5-9 years’ previous experience in software development. (Either 9 years of experience specifically in software development or seven years of experience in software development in combination with 2 years alternative experience in a related field). Ideally has a portfolio of work – code samples, etc Job Role: • An AWS Senior AI Agent Engineer is responsible for designing and implementing highly complex agentic/prompt engineering solutions. • Design and implement agentic AI solutions using AWS Bedrock, including Agents, Knowledge Bases, and Guardrails. • Build serverless architectures using AWS Lambda, Step Functions, and EventBridge to orchestrate AI agent workflows. • Design and engineer sophisticated prompts for agentic AI systems that can plan, reason, and execute multi-step workflows. • Develop prompt architectures that enable AI agents to use tools, APIs, and external resources effectively. • Create and refine chain-of-thought, tree-of-thought, and ReAct (Reasoning + Acting) prompting strategies. • Build evaluation frameworks to measure agent performance, reliability, and safety. • Collaborate with ML and software engineers to integrate prompt strategies with agent frameworks (LangChain, Bedrock AgentCore) and leveraging Bedrock agents/services/foundational models. Qualification: • Deep understanding of large language models (e.g. Claude) and their capabilities. • Proven experience designing prompts for autonomous agents and multi-step reasoning tasks. • Strong knowledge of agentic frameworks and patterns (ReAct, Plan-and-Execute, Reflection, etc.). • Strong experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and foundational models). • Proficiency with AWS serverless services: Lambda, Step Functions, API Gateway, DynamoDB, S3. • Knowledge of AWS security best practices including IAM, KMS, and VPC configurations. • Familiar with Terraform and HCP. • Proficiency in Python and experience with AI agent frameworks (e.g LangChain). • Experience with API integration and tool-use patterns for AI agents. • Previous experience collaborating on a cross-functional team. • Deep understanding of development cycle. • Ability to debug and avoid future problems by building more robust solutions. • Ability to look at previous personal or team experience and use this to analyze mistakes/successes, draw conclusions, and design future solutions. Resulting solutions have few bugs and quick remediation times.