Senior AI Platform Engineer

🕒 June 24

🇺🇸 United States – Remote

💵 $142.9k - $207.2k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Expel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🔒 Cybersecurity

☁️ SaaS

Cybersecurity • SaaS • Technology

Expel is a leading cybersecurity company specializing in Managed Detection and Response (MDR) services. They offer a range of solutions, including phishing investigation, threat hunting, and vulnerability prioritization, tailored for organizations of all sizes with 24x7 protection. Expel's Security Operations Platform, Expel Workbench™, integrates with existing tech to enhance security operations. Their expert team and advanced technology help reduce alert noise, respond swiftly to incidents, and improve overall security posture, enabling organizations to focus on core business activities without worrying about cybersecurity threats.

📋 Description

• Architect and maintain end-to-end machine learning training pipelines on AWS (SageMaker, EKS, Step Functions) to ensure reliable and reproducible model development and deployment • Build and maintain infrastructure for production agentic applications using Amazon Bedrock and Bedrock AgentCore — including agent runtimes, memory, secure gateways, and observability at scale • Contribute to the architectural evolution of our ML platform, including evaluating MLOps tooling and participating in buy vs. build decisions • Implement AI/ML governance best practices for model versioning, testing, validation, maintenance, and security • Integrate MLOps best practices with Expel's SDLC, security, and infrastructure standards, working alongside SRE, Platform Engineering, and Security teams • Drive quality, reliability, and scalability improvements through thoughtful engineering and monitoring • Partner with data scientists, software engineers, and stakeholders to operationalize ML models reliably and at scale • Mentor and support junior engineers; foster a culture of engineering excellence • Create and maintain documentation, internal tooling, and enablement resources so practitioners across Expel can work effectively with ML systems • Stay current with the MLOps landscape and bring relevant innovations back to the team

🎯 Requirements

• 5+ years of relevant software engineering experience with meaningful focus on ML operations and infrastructure • Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field preferred (or a compelling story) • Strong Python proficiency; familiarity with other languages (Go, JS) is a plus • Solid experience with CI/CD pipelines, infrastructure-as-code, and containerization for ML workloads • Hands-on experience with cloud-based ML platforms — AWS (SageMaker, Bedrock, Bedrock AgentCore) strongly preferred; GCP (Vertex AI) experience also valued • Proven experience operationalizing LLMs and building infrastructure for complex agentic applications — agent orchestration, memory, tool calling, RAG architectures • Familiarity with ML frameworks including Scikit-Learn, PyTorch, Spark, and TensorFlow • Working knowledge of continuous retraining, concept drift monitoring, and data drift detection in production

🏖️ Benefits

• Offer unlimited PTO (that leadership models and encourages) • Up to 24 weeks of parental leave • Really excellent health benefits • Pay you a monthly fitness and cell phone stipends — no receipts required • Support your professional growth with a conference benefit and continuous learning opportunities • Offer full remote flexibility — work from wherever you do your best work