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LendingTree

Sr. AI Platform Engineer

full-time•$120k - $165k

Summary

Salary

$120k - $165k

Type

full-time

Experience

5-10 years

Company links

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About this role

<p></p> <p><strong>POSITION SUMMARY</strong></p> <p>We are seeking a highly motivated and skilled&nbsp;AI Platform Engineer&nbsp;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.</p> <p>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.</p> <div>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.</div> <ul> <li><span><strong>Scope of Impact:</strong>&nbsp;Owns medium-sized projects and features for the platform; begins influencing teams that consume the platform.</span></li> <li><span><strong>Key Responsibilities:</strong></span></li> <ul> <li><span>Lead the design and implementation of new platform features (e.g., adding support for a new model in AWS Bedrock).</span></li> <li> <div>Independently build and manage the platform's integrations with tools.</div> </li> <li><span>Optimize the platform for cost, performance, and scalability.</span></li> <li><span>Mentor junior engineers on platform development best practices.</span></li> </ul> <li><span><strong>Example Project:</strong>&nbsp;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.</span><span><br></span><span><strong><br></strong></span></li> </ul> <p><strong>KEY RESPONSIBILITIES</strong></p> <ul> <li><span><strong>AI Platform Management:</strong></span></li> <ul> <li><span>Design, deploy, and manage scalable and secure infrastructure for our generative AI services on AWS Bedrock and Azure AI.</span></li> <li><span>Monitor the performance, availability, and cost of AI models and endpoints, implementing optimizations as needed.</span></li> <li><span>Establish best practices for model lifecycle management, versioning, and deployment within our cloud environments.</span></li> </ul> <li><span><strong>Integration &amp; Workflow Automation:</strong></span></li> <ul> <li><span>Serve as the primary administrator and subject matter expert for our low-code/no-code automation platforms (Zapier, n8n, Tines).</span></li> <li><span>Develop, maintain, and troubleshoot complex, multi-step workflows that integrate our core systems with AI services.</span></li> <li><span>Create reusable components, templates, and standards to accelerate the adoption of these tools across the organization.</span></li> </ul> <li><span><strong>Cross-Functional Enablement &amp; Support:</strong></span></li> <ul> <li><span>Partner directly with Marketing, Sales, Operations, and Analytics teams to understand their challenges and identify opportunities for AI-powered automation.</span></li> <li><span>Translate business requirements into technical solutions, such as automating lead qualification, personalizing marketing content, summarizing customer interactions, or detecting fraudulent activity.</span></li> <li><span>Provide training, documentation, and support to empower departmental users to leverage AI tools effectively and responsibly.</span></li> </ul> <li><span><strong>Operations &amp; Governance:</strong></span></li> <ul> <li><span>Implement and manage robust CI/CD pipelines for deploying AI integrations and automation workflows using tools like Terraform and native cloud services.</span></li> <li><span>Develop and enforce security policies, access controls, and data governance standards for all AI and automation platforms.</span></li> <li> <div>Automate operational tasks using scripting languages like Python and Bash to ensure system reliability and efficiency.</div> </li> </ul> </ul> <p><strong>REQUIRED SKILLS AND EXPERIENCE</strong></p> <ul> <li><span>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</span></li> <li><span>3+ years of experience in a DevOps, SRE, or Cloud Engineering role, with a strong focus on automation.</span></li> <li><span>Hands-on experience with major cloud platforms, with deep expertise in AWS&nbsp;and familiarity with Azure.</span></li> <li><span>Proven experience working with managed AI services (e.g., AWS Bedrock, Amazon SageMaker, Azure AI Services, Google Vertex AI).</span></li> <li><span>Demonstrated proficiency in administering and building complex workflows in at least one major low-code/no-code automation platform (Zapier, n8n,&nbsp;Tines.com,&nbsp;Make, etc.).</span></li> <li><span>Strong scripting and programming skills, particularly in Python&nbsp;and/or Bash.</span></li> <li><span>Experience with Infrastructure as Code (IaC) principles and tools, especially Terraform.</span></li> <li><span>Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.</span></li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li><span>Experience working in the FinTech, lead generation, or insurance industry.</span></li> <li><span>Familiarity with C#/.NET environments.</span></li> <li><span>Experience with API design, security, and management.</span></li> <li><span>Relevant cloud certifications (e.g., AWS Certified DevOps Engineer,&nbsp;</span><span>AWS Certified Generative AI Developer - Professional</span><span>, Azure AI Engineer Associate).</span></li> <li><span>Experience with containerization and orchestration technologies (Docker, Kubernetes).</span></li> </ul> <p><em></em></p> <p><strong>ABOUT LENDINGTREE</strong></p> <p>LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.&nbsp;<br><br>Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.<br><br><strong>What else you should know:</strong></p> <ul> <li>We’re a publicly traded company (NASDAQ: TREE).</li> <li>We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.</li> <li>We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.</li> <li>We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.</li> </ul> <p><strong>OUR CULTURE</strong></p> <p>We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.<br><br>We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)<br><br>Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.</p> <p><em>The base pay range for this position in Seattle/New York/Colorado/California is $120,000 to $165,000; however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.</em></p> <p><em><strong>Incentive Compensation:</strong> Eligible for annual performance bonus</em></p> <p><em><strong>Benefits: </strong>Medical, dental, vision insurance and 401(k) matching</em></p> <p><strong><em>LendingTree is an equal opportunity employer.</em></strong><em> We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.</em></p> <p><a href="https://www.lendingtree.com/legal/privacy-notice-for-lendingtree-job-applicants-and-employees-who-are-california-residents/">CCPA Disclosure</a><em></em></p>

What you'll do

  • The Senior AI Platform Engineer will lead the design and implementation of new platform features and manage integrations with tools. They will also optimize the platform for cost, performance, and scalability while mentoring junior engineers.

About LendingTree

QuoteWizard.com is a leading insurance comparison shopping and research tool that enables consumers to compare agent and carrier quotes locally and nationally to get the best, most affordable coverage. QuoteWizard is a complete insurance marketing solution for agents and carriers. We provide real-time insurance leads, live transfer calls, and online click solutions to connect agents and carriers to in-market consumers shopping for new auto, home, renters, medicare supplement, and health insurance products. = About Us = Family-owned since we began in 2006, QuoteWizard is ranked as one of the fastest growing private companies in Washington State. We generate over 1 Million leads each month and deliver them seconds after they are received to 7,000+ insurance agents on our network. Agent Marketing Solutions | https://QuoteWizard.com/Insurance-leads Consumer Insurance Comparison Shopping | https://QuoteWizard.com

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Frequently Asked Questions

What does LendingTree pay for a Sr. AI Platform Engineer?

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LendingTree offers a competitive compensation package for the Sr. AI Platform Engineer role. The salary range is USD 120k - 165k per year. Apply through Clera to learn more about the full compensation details.

What does a Sr. AI Platform Engineer do at LendingTree?

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As a Sr. AI Platform Engineer at LendingTree, you will: the Senior AI Platform Engineer will lead the design and implementation of new platform features and manage integrations with tools. They will also optimize the platform for cost, performance, and scalability while mentoring junior engineers..

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