Senior AWS AgentCore Platform Engineer

Hybrid in Reading, PA, US • Posted 2 days ago • Updated 23 hours ago
Contract Independent
Contract W2
6 Months
No Travel Required
Hybrid
Depends on Experience
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon SageMaker
  • Amazon DynamoDB
  • API
  • Amazon Web Services
  • Artificial Intelligence
  • Continuous Delivery
  • Cloud Computing
  • Communication
  • Continuous Integration
  • DevOps
  • Machine Learning (ML)
  • Training
  • Terraform
  • Microsoft Certified Professional
  • Machine Learning Operations (ML Ops)
  • Management
  • Orchestration
  • ProVision
  • Real-time
  • Workflow

Summary

Role: Senior AWS AgentCore Platform Engineer

Location: Reading PA (Hybrid 2-3 days a week)

 Note: AgentCore experience is must.

Job Description

  • Python (3.11+): Hands-on experience building robust applications and agentic logic.
  • Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS to manage the end-to-end ML lifecycle. This includes automating model training, registering models in the centralized registry, and configuring real-time/asynchronous inference endpoints within the SMUS ecosystem.
  • Infrastructure as Code (IaC):Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases, DynamoDB, Lambda, etc.
  • CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications and MLOps workflows.
  • AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
  • AWS Bedrock AgentCore : Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
  • Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, strands, etc.
  • Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
  • AWS Certification (Optional): Holding one or more AWS Professional-level certifications—specifically the AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty—is highly preferred and considered a strong plus.
  • Continuous Learning: Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.
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: 91172187
  • Position Id: 9098803
  • Posted 2 days ago

Company Info

About Texnere Americas Inc

At Texnere, we are committed to helping businesses find the right talent, at the right time, through the right approach. Our 360° talent solutions seamlessly integrate flexible hiring models—Flexible Staffing, Team Leasing, Synergizing Agenting AI, and Managed Services—with deep industry expertise across IT, BPM, Sales & Marketing, and more.

We understand that every organization is unique, operating within specific sectors and organizational ‘vectors’ that present distinct challenges and opportunities. Whether you're a healthcare startup looking to innovate or a global captive center (GCC) in the tech space, Texnere provides specialized talent solutions tailored to your precise needs.

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Peddinti Venkat Moudgalya

Recruiter @ Texnere Americas Inc
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