AWS MLOps Architect: SageMaker, Terraform & Bedrock Hybrid

MARICI Solutions GmbH; Reading (Berks County); Hybrid; USD 100,000 - 150,000; Full time

Job summary

MARICI Solutions GmbH in Reading, PA (hybrid) seeks an experienced AWS ML/AI engineer for a long-term contract. The role centers on building and managing end-to-end ML pipelines using AWS SageMaker Unified Studio, Terraform IaC, and Bedrock tools.

Candidates with proficiency in Python, MLOps, IAM security, and multi-agent orchestration will excel. Certifications such as AWS MLS-C01 or AI Practitioner are highly preferred. Travel to Reading is required on a regular basis.

Qualifications

• Hands-on Python development (3.11+) for robust applications and agentic logic.
• Extensive experience with AWS SageMaker Unified Studio (SMUS) and MLOps for end-to-end ML lifecycle.
• Production-level Terraform IaC to provision AWS services including Bedrock, DynamoDB, Lambda.
• CI/CD and DevOps practices for cloud-native apps and MLOps workflows.
• Deep experience with AWS IAM and secure service communications.
• Familiarity with AWS Bedrock AgentCore, including Agent Runtime, Memory, Identity, and Tool Gateway.
• Experience with multi-agent orchestration frameworks (LangGraph, strands, etc.).
• Understanding of MCP (Model Context Protocol) and modern tool/API integration for AI agents.
• Optional AWS professional certifications (AI Practitioner or MLS-C01) preferred.

Responsibilities

• Develop and maintain ML pipelines and automation for model training and deployment.
• Configure and manage end-to-end inference endpoints in SMUS and related tools.
• Implement IaC using Terraform to provision AWS services including Bedrock components.
• Maintain secure, scalable CI/CD pipelines for cloud-native ML applications.
• Collaborate on MLOps workflows and secure service communications (IAM).

Skills

Python

AWS SageMaker

MLOps

CI/CD

AWS Bedrock

Tools

Terraform

DynamoDB

Lambda

IAM

Job description

MARICI Solutions GmbH in Reading, PA (hybrid) seeks an experienced AWS ML/AI engineer for a long-term contract. The role centers on building and managing end-to-end ML pipelines using AWS SageMaker Unified Studio, Terraform IaC, and Bedrock tools.

Candidates with proficiency in Python, MLOps, IAM security, and multi-agent orchestration will excel. Certifications such as AWS MLS-C01 or AI Practitioner are highly preferred. Travel to Reading is required on a regular basis.