elastic
Sr. Application Engineer, Automation Lead
At a Glance
- Location
- United States
- Experience
- 5+ years
- Posted
- 2026-03-21T19:25:11-04:00
Key Requirements
Required Skills
Domain Knowledge
- Education
- Engineering
- Finance
- Medical
Benefits & Perks
our previous salary Health coverage for you and your family in many locatio
Requirements
At least 5 years' experience in a hands-on, end-to-end delivery role for scalable production solutions in a professional environment
Extensive experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and agentic frameworks
Deep expertise in data modeling, processing, integration, and analytics, with proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)
Experience developing and deploying conversational AI solutions
Expert-level experience with Python in a professional setting
Prior experience in a solution engineering or technical lead role
Responsibilities
We're hiring an AI Forward Deployed Automation Engineer to lead 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.
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: