AI Specialist III - Only W2

Position: AI Specialist III

Experience: 9+ Years

Location: Charlotte (Hybrid)

Must Have: AWS Bedrock, LLM (Claude preferred), Python/lambdas

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.