Appian Corporation

Appian Corporation

Lead Applied AI Engineer

United States · Senior

Sponsorship not specified$150k-$300kDetected 22 days ago
LLMsSalesforceRecruitingMentoring

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 32 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do.
  • We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality.
  • These skills are shared across the team, so you'll bring production depth in some of these areas and the range to grow into the others.

Responsibilities

  • Develop Clean Software: Architect, build, and optimize production AI systems while keeping a strong hands-on technical presence.
  • Build Production Agents: Design reliable agents and orchestration - planning, tool use, memory, and state - with safe, permission-aware boundaries.
  • Model Application Intelligence: Build the semantic and dependency models and retrieval that give AI accurate context across large application estates.
  • Prove Correctness with Evaluation: Build the evaluation and CI pipelines that gate quality and catch real regressions.
  • Optimize Performance & Scale: Engineer reliability, latency, and efficiency into core systems at enterprise scale.
  • Develop Clean Software:
  • Architect, build, and optimize production AI systems while keeping a strong hands-on technical presence.
  • Build Production Agents:
  • Design reliable agents and orchestration - planning, tool use, memory, and state - with safe, permission-aware boundaries.

Requirements

  • Bachelor of Science degree in Computer Science or a related technical/analytical discipline.
  • 7+ years of relevant software development experience with a BS (or 5+ years of experience paired with a Master of Science in Computer Science or a related field).
  • Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context.
  • Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences.

Nice to have

  • Expertise in code search, repository intelligence, or developer tools.
  • Experience with legacy codebase and workflow modernization.
  • We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment.
  • Tools and Resources
  • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training.
  • This commitment ensures that employees have access to a holistic range of development opportunities.
  • Community: We'll immerse you into our community rooted in respect starting on day one.
  • Appian fosters inclusivity through our 8 employee-led affinity groups.

Compensation

  • $150,000 - $300,000 USD

Benefits

  • Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future.
  • Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to.

Company info

  • Here at Appian, our values of Intensity and Excellence define who we are.
  • We set high standards and live up to them, ensuring that everything we do is done with care and quality.
  • We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results.
  • When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together.
  • Lead Applied AI Engineer
  • Grow your engineering career building the AI systems that understand, model, and rebuild enterprise applications - powering AI automation for the world's largest enterprises.
  • Appian Engineering spans the full depth of our platform:
  • from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do.
  • By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world.
  • As a Lead Applied AI Engineer, you will serve as a technical linchpin for the team building AI systems that reason about enterprise applications end to end - spanning agents and orchestration, specification extraction from existing systems, application intelligence and retrieval, and rigorous LLM evaluation.
  • Equipped with cutting-edge AI tooling, you'll design and deliver systems of real sophistication, shape engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration.

Equal opportunity

  • equal opportunity employer that strives to attract and retain the best talent.
  • If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com.
  • Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

This listing is sourced directly from Appian Corporation's careers page and normalized into a canonical job model.