Senior Deployed AI Engineer – Anthropic

<p> </p> <p><strong>About Artefact</strong></p> <div> <p>Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.<br>We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.<br>As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.</p> </div> <p><strong>The Role:<br></strong><br>Artefact is looking for a Senior Deployed AI Engineer specialized in the Anthropic (Claude) ecosystem: an engineer who works embedded with our clients and takes AI products from idea to production.<br><br>You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works.<br><br>This role combines deep, certified expertise in the Anthropic ecosystem (Claude models, the Claude Platform, and its agentic tooling) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication.<br><br>You will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you.<strong><br></strong></p> <ul> <li style="font-weight: 400;"><strong>Develop</strong>, schedule, and monitor data pipelines using Apache Airflow.</li> <li style="font-weight: 400;"><strong>Collaborate</strong> with data analysts, scientists, and engineering teams to ensure reliable data delivery.</li> <li style="font-weight: 400;"><strong>Optimize</strong> ETL processes for performance, reliability, and scalability.</li> <li style="font-weight: 400;"><strong>Maintain</strong> and improve data architecture, ensuring data integrity and security.</li> <li style="font-weight: 400;"><strong>Troubleshoot</strong> and resolve pipeline failures and performance bottlenecks.</li> <li style="font-weight: 400;"><strong>Provide technical leadership</strong> and guidance in the implementation of technical solutions, ensuring alignment with industry standards and compliance requirements.</li> <li style="font-weight: 400;"><strong>Document architectural decisions</strong>, strategies, and implementation guidelines for future reference.</li> <li style="font-weight: 400;"><strong>Lead by example</strong>, promoting engineering excellence and a culture of continuous improvement.</li> <li style="font-weight: 400;"><strong>Coach</strong> and upskill team members by providing technical guidance, pair programming, design reviews, and knowledge sharing.</li> </ul> <p> </p> <p><strong>What You'll Do<br></strong><em>Build Full-Stack