Staff AI Process Engineer

Accountabilities:

• • Process discovery and knowledge extraction: Work directly with domain experts to observe real-world workflows, document tacit knowledge, identify decision points and edge cases, and distinguish genuine expertise from routine practices or outdated assumptions.
  • Process modeling and modernization: Translate informal, expert-driven processes into formal, structured models that can be analyzed, improved, and ultimately supported or automated through technology.
  • Legacy tooling transformation: Assess bespoke and legacy tools to understand their actual functionality, identify modernization opportunities, and design AI-native or conventional engineering replacements without disrupting ongoing operations.
  • AI agent architecture: Design and implement multi-step AI agent workflows that break complex tasks into verifiable stages, incorporating appropriate tool use, context management, evaluation frameworks, and failure or fallback strategies.
  • Evaluation and reliability: Establish methods for comparing AI-generated outcomes against expert baselines and introduce confidence-based escalation mechanisms so systems can recognize when human intervention is required.
  • Human-in-the-loop design: Define where human approval, review, or override is necessary, including escalation thresholds, audit trails, feedback loops, and calibration mechanisms that continuously improve system performance.
  • Knowledge transition: Help domain experts evolve from process executors into reviewers and teachers while preserving valuable institutional knowledge and maintaining meaningful engagement.
  • End-to-end delivery: Own initiatives from discovery through production deployment, balancing technical ambition with pragmatic delivery and ensuring solutions are scalable, transparent, auditable, and operationally sustainable.

  Requirements:

  • Education: Bachelor’s degree from an accredited university or college.
  • Professional experience: At least 5 years of experience in software or AI engineering, including a minimum of 2 years building LLM-based or AI agent-based systems.
  • AI engineering expertise: Demonstrated experience designing and deploying multi-step, tool-using AI agent workflows, including evaluation and orchestration.
  • Process expertise: Proven ability to extract tacit knowledge from subject-matter experts through process mining, cognitive task analysis, knowledge engineering, or comparable approaches.
  • Systems thinking: Strong ability to understand and model complex processes end-to-end before determining the appropriate technical solution.
  • Modernization experience: Track record of replacing or modernizing legacy systems while maintaining business continuity and minimizing operational disruption.
  • Technical judgment: Ability to determine when AI, LLM pipelines, vision models, structured extraction, or conventional software engineering are the right approaches for a given problem.
  • Domain knowledge: Experience in aerospace, aviation regulatory organizations, or other highly regulated or safety-critical environments is valued.
  • Specialized knowledge: Background in knowledge engineering, expert systems, decision-support systems, or comparable disciplines is advantageous.
  • Communication and influence: Diplomatic persistence and strong interpersonal skills, with the ability to build trust with experts and influence stakeholders through collaboration rather than authority.
  • Problem-solving mindset: Strong decomposition skills, healthy skepticism toward undocumented processes, and a pragmatic approach to delivering valuable solutions with appropriate human oversight.

  Benefits:

  • Competitive base salary: $152,000–$202,000 USD per year, with the actual offer determined by factors including experience, education, skills, and qualifications.
  • Performance incentives: Eligibility for an annual discretionary bonus based on a percentage of base salary or applicable compensation plan.
  • Remote work: Fully remote position within the United States.
  • Healthcare coverage: Medical, dental, vision, and prescription drug benefits.
  • Wellbeing support: Access to health coaching and a confidential Employee Assistance Program offering 24/7 assessment, counseling, and referral services.
  • Retirement benefits: 401(k) savings plan with matching contributions and employer retirement contributions, plus access to financial planning resources.
  • Additional programs: Tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time off for vacation or illness.
  • Professional environment: Opportunities for professional development and challenging work at the intersection of AI, software engineering, process transformation, and complex operational environments.
  • Relocation: No relocation assistance is provided.