Senior Application Engineer, Automation Lead
Company: Elastic
Location: San Diego
Posted on: March 24, 2026
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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. Were
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, youll 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 RESPONSIBILITIES • 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 field will
directly influence product enhancements and platform direction. •
Client Partnership: Embed with client teams to understand their
operational challenges and goals. Translate requirements into clear
technical designs, build strong relationships, and serve as a
trusted technical advisor. • Debugging and Root Cause Analysis:
Perform thorough analysis, debugging, and root cause identification
for complex system interactions, data flows, and AI model behaviors
to optimize performance and prevent recurring issues. • Prototyping
and Iteration: Rapidly develop proofs-of-concept and minimum viable
products, often coding alongside client teams to demonstrate
capabilities and gather feedback for iterative refinement. •
Engineering Best Practices: Apply and promote standards for code
quality, scalability, security, and maintainability across all
deployed solutions QUALIFICATIONS • At least 5 years experience in
a hands-on, end-to-end delivery role for scalable production
solutions in a professional environment • Expert-level proficiency
in one or more programming languages (e.g., JavaScript, Java,
Python) • 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) • Strong collaboration,
communication, and presentation skills, both written and verbal,
with the ability to explain complex technical concepts to technical
and non-technical partners • Track record of leading technical
engagements, mentoring junior team members, and taking
responsibility for technical aspects of projects BONUS POINTS •
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 •
Experience contributing to open-source AI frameworks or
libraries
Keywords: Elastic, Coachella , Senior Application Engineer, Automation Lead, IT / Software / Systems , San Diego, California
