Senior AWS AgentCore Platform Engineer

GlobalLogic; Reading (Berks County); Hybrid; USD 135,000 - 145,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home

Professional development

Job summary

GlobalLogic seeks a Senior AWS AgentCore Platform Engineer in Reading, PA, to harden a new AWS AgentCore platform for AI agent development and deployment. You will work with client teams to ensure platform readiness in a hybrid setup.

You should have strong Python 3.11+ skills, SMUS/MLOps experience, Terraform IaC, and CI/CD expertise. AWS IAM and BedrockAgentCore familiarity are essential for success in this role.

Qualifications

• Must have hands-on Python 3.11+ experience building robust apps and agentic logic.
• Hands-on SMUS experience to manage end-to-end ML lifecycle and inference endpoints.
• Proficient Terraform IaC for provisioning AWS services (Bedrock Agents, Knowledge Bases, DynamoDB, Lambda).
• Proven CI/CD/DevOps with automated deployment pipelines for cloud-native apps and MLOps.
• Deep experience with AWS IAM and secure service communication.
• Familiarity with AWS Bedrock AgentCore and related runtime components.
• Experience enabling multi-agent orchestration with frameworks like LangGraph.
• Strong understanding of MCP and modern tool/API integration patterns for AI agents.
• AWS Certification (Optional) such as AI Practitioner or ML - Specialty is a plus.
• Willingness to continuously learn emerging AI technologies and cloud services.

Responsibilities

• Hardening the new AWS AgentCore platform so teams can develop and deploy AI agents.
• Collaborate with Client teams to ensure platform readiness and reliability.
• Maintain and improve CI/CD pipelines for cloud-native apps and MLOps workflows.
• Ensure secure provider configurations and IAM policies across services.
• Keep up-to-date with AWS Bedrock AgentCore ecosystem and runtimes.

Skills

Python

SMUS/MLOps

Terraform IaC

CI/CD

AWS IAM

Bedrock AgentCore

Agent Orchestration

MCP

AWS Certification

Learning

Job description

Note: GlobalLogic estimates the starting pay range for this role to be performed hybrid in Reading, PA is $135,000 - $145,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

Job Title: Senior AWS AgentCore Platform Engineer

Location: Reading, PA (Hybrid)

Note: AWS Agentcore experience is mandatory.

Work with Client team to harden the new AWS AgentCore platform being setup so it can be used by teams to develop and deployAI agents.

Requirements

• 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.

What we offer

Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development: We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.