Sr. AI Engineer, Application Engineering

Job Description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're hiring an AI Forward Deployed Automation Engineer to join IT to manage AI agentic deployments and deliver real impact for our customers. This is a great opportunity to work at the intersection of engineering and customer success! In this role, you'll design and develop tailored solutions using the Elastic Agent Builder platform and related technologies, guide technical engagements, and support the growth of junior engineers. The work spans from concept through deployment, requiring strong problem-solving skills and a collaborative approach to delivering value in complex, real-world environments. What You Will Be Doing Technical Delivery and Implementation: Own the end-to-end technical delivery of AI solutions, including writing code, configuring systems, and resolving issues, while reviewing the work of junior team members to ensure quality deployment and measurable business impact. AI Solution Development: Take ownership of designing and implementing scalable production systems, including AI and Large Language Model (LLM) based intelligent agents and automated workflows built on the Salesforce platform. Custom Agentic AI Engineering: Work directly with stakeholders to design and build custom intelligent agents using the Elastic Agent Builder platform, ensuring solutions meet unique business requirements and integrate smoothly with existing tool ecosystems. Data Configuration and Integration: Own the full data lifecycle, from data model design to building efficient processing pipelines and establishing integration strategies. Ensure data is optimized and secure for AI applications, including in complex enterprise environments. Technical Problem Solving: Identify, analyze, and resolve technical challenges across all phases of solution delivery, from data integration to model deployment and agent orchestration. Serve as a reliable resource for unblocking progress. Agentic Innovation: Develop expertise in the Elastic platform, pushing its capabilities forward. Lead the development of custom intelligent agents, automate business processes, and shape user experiences. Insights from the

Required Skills