AI Agent Developer

Hybrid in Reston, VA, US • Posted 51 minutes ago • Updated 51 minutes ago
Contract Independent
Contract W2
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/GenAI services such as Amazon Bedrock
  • SageMaker
  • Amazon Q
  • embeddings
  • RAG patterns
  • vector database
  • Glue
  • Athena
  • DynamoDB
  • RDS
  • Redshift

Summary

Pay: $120,000.00 - $130,000.00 per year

Job description:

Job Title: AI Agent Developer
Job Location: Reston, VA (Must be Local Only or DMV), 3 days to work site.
Duration: 12 Months

Description:

AI Engineer / AI Agent Developer focused on building and deploying GenAI agents within the organization's AWS-based AI ecosystem.

The team is specifically looking for candidates with hands-on experience deploying agents on Amazon Bedrock and Amazon AgentCore, including understanding how AgentCore manages runtime, memory, policy engines, identity integration, and agent deployment architecture.

This is a hands-on engineering role requiring candidates to design, build, deploy, and support AI-powered solutions rather than simply consume or configure AI tools.

Must Have Skills:

  • Experience working with AI/GenAI services such as Amazon Bedrock, SageMaker, Amazon Q, or similar platforms to support AI-based use cases.
  • Hands-on experience with embeddings, RAG patterns, vector databases, or similar technologies.
  • Experience with AWS data services such as Glue, Athena, DynamoDB, RDS, Redshift.
  • Experience building or supporting data ingestion, transformation, and orchestration workflows
  • Familiarity with CloudWatch, logging, alerting, troubleshooting, and performance optimization for cloud-based AI/data solutions.

Good-to-Have Skills:

  • Understanding of IAM roles/policies, least privilege access, encryption, secrets management, API integrations, and secure cloud design patterns.
  • Ability to develop Python scripts, REST APIs, serverless functions, and automation for AI/data workflows.
  • Ability to work with architecture, security, data, and application teams to support POCs, document designs, and drive cloud/AI solution adoption.
  • Understanding of IAM roles/policies, least privilege access, encryption, secrets management, API integrations, and secure cloud design patterns.
  • Ability to develop Python scripts, REST APIs, serverless functions, and automation for AI/data workflows.
  • Ability to work with architecture, security, data, and application teams to support POCs, document designs, and drive cloud/AI solution adoption.

AWS AI/Data Engineer responsible for building GenAI solutions using Bedrock, RAG, vector databases, AWS data services, secure integrations, and scalable pipelines to support enterprise AI and analytics use cases

Thank you,
Hiring Manager
STRUES Inc

Job Type: Contract

Work Location: In person

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: RTX1c7619
  • Position Id: 9123409
  • Posted 51 minutes ago
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