MLOps Architect - Gen Al

<div class="content-intro"><p> </p> <div> <p><span style="color: rgb(124, 146, 248);"><span data-olk-copy-source="MailCompose">Attention: Kapitus is aware that individuals posing as recruiters </span>may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information.</span></p> </div> <div> <p><span style="color: rgb(124, 146, 248);">Kapitus will <strong><u>never</u></strong> ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at <a href="https://www.kapitus.com/careers">www.kapitus.com/careers</a> <strong>  </strong>All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process.</span></p> </div> <div> <p><span style="color: rgb(124, 146, 248);">Candidates with additional questions or concerns regarding any recruiting communications or Kapitus’ recruiting process in general should email <strong><u><a id="OWA4573487d-6c94-b52e-0613-1b1034189b61" class="x_OWAAutoLink" style="color: rgb(124, 146, 248);" href="mailto:recruiting@kapitus.com" data-linkindex="2">recruiting@kapitus.com</a></u></strong><strong><u> </u></strong></span></p> </div> <p> </p></div><p>We are seeking a senior MLOps Architect to design and scale a modern ML and Generative AI platform across AWS. This role will own the architecture for traditional ML and LLM/Generative AI pipelines, ensuring production reliability, governance, cost optimization (FinOps), and enterprise-grade security. The ideal candidate has deep expertise in AWS, SageMaker, Databricks, Atlan (data catalog/governance), and modern MLOps tooling, and understands how to operationalize LLMs, RAG systems, and foundation models within a governed, scalable MLOps stack. This is a strategic, hands-on architecture role responsible for integrating GenAI capabilities into an enterprise ML platform.</p> <p><strong>What you’ll Do:</strong></p> <p><strong>MLOps & GenAI Platform Architecture </strong></p> <ul> <li>Design and implement scalable ML and LLM infrastructure on AWS (SageMaker, EKS, S3, IAM, Lambda, Step Functions, CloudWatch).