AI Specialist III - Only W2

Hybrid in Charlotte, NC, US • Posted 6 days ago • Updated 6 days ago

Contract Independent

Contract W2

Hybrid

Up to $55/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

AWS Bedrock
Guardrails
AWS Lambda
EventBridge

Summary

Position: AI Specialist III

Experience: 9+ Years

Location: Charlotte (Hybrid)

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

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90902025
Position Id: 8891221
Posted 6 days ago

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AI Specialist III - Only W2

Dice Job Match Score™

Job Details

Skills

Summary

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.

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