Senior AI Platform Engineer

About This Role

Join LendingTree as a Senior AI Platform Engineer to manage, integrate, and optimize AI platforms like AWS Bedrock and Azure AI Foundry. You will administer and scale third-party integration tools to enable secure, AI-driven workflows across the company.

Responsibilities

• Design, deploy, and manage scalable and secure infrastructure for generative AI services on AWS Bedrock and Azure AI.
• Monitor the performance, availability, and cost of AI models and endpoints, implementing optimizations as needed.
• Establish best practices for model lifecycle management, versioning, and deployment within cloud environments.
• Serve as the primary administrator and subject matter expert for low-code/no-code automation platforms (Zapier, n8n, Tines).
• Develop, maintain, and troubleshoot complex, multi-step workflows integrating core systems with AI services.
• Create reusable components, templates, and standards to accelerate adoption of automation tools.
• Partner with Marketing, Sales, Operations, and Analytics teams to identify AI-powered automation opportunities.
• Translate business requirements into technical solutions for tasks like lead qualification, content personalization, and fraud detection.
• Provide training, documentation, and support to empower departmental users to leverage AI tools effectively.
• Implement and manage robust CI/CD pipelines for deploying AI integrations and automation workflows using Terraform and native cloud services.
• Develop and enforce security policies, access controls, and data governance standards for AI platforms.
• Automate operational tasks using scripting languages like Python and Bash to ensure system reliability and efficiency.

Requirements

• 3+ years in DevOps, SRE, or Cloud Engineering with automation focus
• Hands-on experience with major cloud platforms (AWS, Azure)
• Proven experience with managed AI services (e.g., AWS Bedrock, Amazon SageMaker, Azure AI Services, Google Vertex AI)
• Proficiency in administering and building complex workflows in at least one major low-code/no-code automation platform (Zapier, n8n, Tines.com, Make)
• Strong scripting and programming skills in Python and/or Bash
• Experience with Infrastructure as Code (IaC) principles and Terraform
• Excellent communication skills

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3+ years of experience in a DevOps, SRE, or Cloud Engineering role, with a strong focus on automation.

Nice to Have

• Experience in the FinTech, lead generation, or insurance industry
• Familiarity with C#/.NET environments
• Experience with API design, security, and management
• Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Generative AI Developer - Professional, Azure AI Engineer Associate)
• Experience with containerization and orchestration technologies (Docker, Kubernetes)

Skills

* Required skills

Benefits