Principal Applied AI Engineer

Appian

Remote regions

US

Salary range

$200,000–$350,000/yr

Benefits

Unlimited PTO

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The Team:

  • Engage with the Appian Engineering team, which spans the full depth of the platform from foundational layers to AI capabilities.
  • Collaborate in a highly interactive, fast-paced environment focused on technical precision and continuous learning.
  • Solve real-world problems directly shaping how Appian delivers its AI-Powered Process Automation platform globally.

The Opportunity:

  • Serve as the technical linchpin for applied AI, bringing deep expertise in designing and operating production LLM systems.
  • Drive the design and delivery of high-complexity AI systems including code generation, agents, retrieval, and structured generation.
  • Set the technical bar for the team and lead other engineers towards solutions of real complexity.

What You'll Contribute:

  • Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence.
  • Spearhead strategic technological changes and champion code refactoring efforts.
  • Use AI coding tools fluently as a force multiplier, generate, review, and evaluate AI-assisted code.
  • Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier AI-powered applications.
  • Optimize performance and scale by managing availability, latency, scalability, and efficiency.

Growth and Community:

  • Access training and development through onboarding, mentoring, and the First-Friend program.
  • Benefit from growth opportunities such as leadership programs and tuition reimbursement.
  • Be part of an inclusive community with 8 employee-led affinity groups that foster connection and development.

Appian

Appian provides AI automation for mission-critical work, automating complex processes in large enterprises and governments. With over 25 years of experience, the company is known for its reliability and scale, and fosters an inclusive culture with employee-led affinity groups.

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