Lead Applied AI Engineer - Remote Enterprise Automation

Appian Corporation

United States

Remote

USD 150,000 - 300,000

Full time

14 days+

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Job summary

Appian Corporation seeks a Lead Applied AI Engineer to drive production AI systems for enterprise automation. You will guide agents, orchestration, and specification extraction across large enterprise applications, delivering reliable, scalable AI capabilities.

Join a collaborative team to advance AI-powered automation for enterprises worldwide. Requires strong distributed systems, software engineering, and ability to evaluate AI-generated code; base salary is $150,000–$300,000 USD with

Qualifications

Bachelor's degree in Computer Science or related technical field.
7+ years of software development experience with BS (or 5+ years with MS).
Strong distributed-systems background with retries, idempotency, partial failures, long-running tasks, and recovery.
Strong software engineering, data-pipeline, and observability skills; able to own a production service end-to-end.
Experience using AI coding assistants; ability to evaluate and apply AI-generated code in production.
Excellent communication of complex architectures verbally, visually, and in writing to diverse teams.

Responsibilities

Develop Clean Software: Architect, build, and optimize production AI systems with hands-on work.
Build Production Agents: Design reliable agents and orchestration with safe boundaries.
Extract Specifications from Existing Systems: Derive requirements and executable specs from source, metadata, tests, and runtime behavior.
Model Application Intelligence: Build semantic and dependency models and retrieval for context across large estates.
Prove Correctness with Evaluation: Build evaluation/CI pipelines to gate quality and catch regressions.
Engineer with AI: Use AI coding tools to ship faster without compromising quality.
Optimize Performance & Scale: Improve reliability, latency, and efficiency of core systems.
Mentor & Champion Talent: Coach junior engineers to accelerate growth.
Influence Technical Documentation: Contribute to engineering docs across the department.