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Plaid&#39;s network covers 12,000 financial institutions across the US, Canada, UK and Europe.</p>\n<p>The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid&#39;s transformation into an AI-first company.</p>\n<p>In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:</p>\n<ul>\n<li>Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond</li>\n</ul>\n<ul>\n<li>Redefine how Plaid&#39;s consumer link experience embed into conversational interfaces in the most seamless way</li>\n</ul>\n<ul>\n<li>Architect the trust layer for the future of agentic commerce that will become the industry standard</li>\n</ul>\n<p>Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:</p>\n<ul>\n<li>Make the next step-function improvement in our homegrown customer support agent</li>\n</ul>\n<ul>\n<li>Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.</li>\n</ul>\n<ul>\n<li>Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products</li>\n</ul>\n<p>You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI &lt; Fintech will be heading longer term.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build across the stack. 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You&#39;ll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.</p>\n<p>This opportunity will allow you to:</p>\n<ul>\n<li>Accelerate your career growth by working on state-of-the-art AI systems.</li>\n<li>Develop deep expertise in prompt engineering and model tuning.</li>\n<li>Hone your skills in building robust data pipelines and quality frameworks.</li>\n</ul>\n<p>Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement new relevance metrics to measure and improve local search quality.</li>\n<li>Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.</li>\n<li>Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.</li>\n<li>Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.</li>\n<li>Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.</li>\n<li>Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.</li>\n<li>Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.</li>\n</ul>\n<p>Other Requirements:</p>\n<ul>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_714d4a02-1c4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/applied-scientist-7/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","LLM/SLM labeling pipelines","Prompt engineering","Model tuning","Data pipelines","Quality frameworks"],"x-skills-preferred":["Retrieval Augmented Generation","Scalable workflows","Dashboards","Measurement","Evaluation cycles","Quality checks"],"datePosted":"2026-03-08T22:15:35.607Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, LLM/SLM labeling pipelines, Prompt engineering, Model tuning, Data pipelines, Quality frameworks, Retrieval Augmented Generation, Scalable workflows, Dashboards, Measurement, Evaluation cycles, Quality checks"}]}