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Sr. AI Platform Engineer

LendingTree
UKRemotefull_timeVerifiedPosted 20 Jan 2026
💰 $165,000/yr($120,000/yr$165,000/yr)

About the role

POSITION SUMMARY

We are seeking a highly motivated and skilled AI Platform Engineer to join our growing technology team. This role is pivotal in bridging the gap between our business departments and the transformative power of AI. You will be responsible for the operational management, integration, and optimization of our AI platforms, primarily AWS Bedrock and Azure AI Foundry. A key aspect of this position will be administering and scaling our use of third-party integration tools like Zapier, n8n, and Tines to empower teams across the company to build AI-driven workflows securely and efficiently.

The ideal candidate is a hands-on engineer with a DevOps mindset, a passion for automation, and a strong understanding of how to make sophisticated AI tools accessible and impactful for non-technical users.

The Senior AI Platform Engineer is a proficient and autonomous owner of the platform's core components. They lead small-to-medium-sized projects and begin to specialize in more complex AI services and integrations.
  • Scope of Impact: Owns medium-sized projects and features for the platform; begins influencing teams that consume the platform.
  • Key Responsibilities:
    • Lead the design and implementation of new platform features (e.g., adding support for a new model in AWS Bedrock).
    • Independently build and manage the platform's integrations with tools.
    • Optimize the platform for cost, performance, and scalability.
    • Mentor junior engineers on platform development best practices.
  • Example Project: Building a reliable, automated process for a product team to securely access and use a new generative AI model, complete with cost monitoring and usage alerts.

KEY RESPONSIBILITIES

  • AI Platform Management:
    • Design, deploy, and manage scalable and secure infrastructure for our 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 our cloud environments.
  • Integration & Workflow Automation:
    • Serve as the primary administrator and subject matter expert for our low-code/no-code automation platforms (Zapier, n8n, Tines).
    • Develop, maintain, and troubleshoot complex, multi-step workflows that integrate our core systems with AI services.
    • Create reusable components, templates, and standards to accelerate the adoption of these tools across the organization.
  • Cross-Functional Enablement & Support:
    • Partner directly with Marketing, Sales, Operations, and Analytics teams to understand their challenges and identify opportunities for AI-powered automation.
    • Translate business requirements into technical solutions, such as automating lead qualification, personalizing marketing content, summarizing customer interactions, or detecting fraudulent activity.
    • Provide training, documentation, and support to empower departmental users to leverage AI tools effectively and responsibly.
  • Operations & Governance:
    • Implement and manage robust CI/CD pipelines for deploying AI integrations and automation workflows using tools like Terraform and native cloud services.
    • Develop and enforce security policies, access controls, and data governance standards for all AI and automation platforms.
    • Automate operational tasks using scripting languages like Python and Bash to ensure system reliability and efficiency.

REQUIRED SKILLS AND EXPERIENCE

  • 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.
  • Hands-on experience with major cloud platforms, with deep expertise in AWS and familiarity with Azure.
  • Proven experience working with managed AI services (e.g., AWS Bedrock, Amazon SageMaker, Azure AI Services, Google Vertex AI).
  • Demonstrated proficiency in administering and building complex workflows in at least one major low-code/no-code automation platform (Zapier, n8n, Tines.com, Make, etc.).

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Company

LendingTree

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