Senior AWS AgentCore Platform Engineer

About the role

Location: Reading, PA (Hybrid). AWS AgentCore experience is mandatory.

Responsibilities

• Work with Client team to harden the new AWS AgentCore platform being set up so it can be used by teams to develop and deploy AI 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, including 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.

Benefits

• Exciting Projects: Work on market-defining products using the latest technologies across industries.
• Collaborative Environment: Work with a diverse team of highly talented people in an open, laidback environment, with opportunities to work abroad in global centers or client facilities.
• Work-Life Balance: Flexible work schedules and opportunities to work from home.
• Professional Development: Continuing education classes, professional certification and training (technical, soft skills, language, communication) to help realize professional goals; additional learning through international knowledge exchanges.
• Excellent Benefits: Competitive salaries, health and life insurance, short-term and long-term disability insurance, matched contribution 401K plan, flexible spending accounts, and PTO and holidays.

Pay

Estimated starting pay range: $135,000 – $145,000 (base salary only).