​Principal Engineer – Applied AI

Discover the Role

We are seeking a Principal Engineer – Applied AI to serve as one of the definitive technical voices with one of our clients. In this high-impact, non-managerial role, you will set system-wide technical direction, make high-stakes architectural decisions across multiple engineering teams, and continuously raise our engineering ceiling through hands-on leadership and mentorship.

If you thrive on solving the hardest cross-system problems, establishing production AI standards, and building resilient architecture for frontier AI applications, this role is for you.

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Discover the Responsibilities

1. Technical Direction & Applied AI Architecture

   
   

• Define Enterprise Standards: Establish technical direction for system architecture, API interfaces, evaluation strategies, and deployment patterns that govern how our engineering teams build.

  
  

• Make Mission-Critical Calls: Lead high-consequence architectural decisions that transcend individual team scopes—taking ownership to define, document, and defend the technical vision.

  
  

• Architect for Production AI Realities: Build robust systems designed for the unique challenges of AI at scale—including non-determinism, model drift, evaluation-as-engineering, cost/latency tradeoffs, and novel failure modes.

  
  

• Domain Expertise: Serve as a trusted authority on frontier model evaluation, RAG/retrieval architectures, multi-agent design, and state-of-the-art AI infrastructure, distinguishing battle-tested tools from research hype.

  
  

2. Hands-On Technical Leadership

• Lead from the Front: Stay deeply active in the technical work—reading code, running benchmarks, writing prototypes to resolve architectural debates, and building reference implementations.

  
  

• Tackle Unowned & Complex Problems: Own cross-system redesigns, resolve multi-component production incidents, and fix stubborn performance bottlenecks that elude standard debugging.

  
  

• De-risk Core Decisions: Pressure-test high-stakes choices including model selection, build vs. buy infrastructure, sovereign deployment trade-offs, and long-term architectural commitments.

  
  

3. Engineering Quality & Mentorship

• Set the Bar: Lead deep design reviews, architecture evaluations, and post-mortems as a standard-setting function where your approval establishes the baseline for production readiness.

  
  

• Multiply Engineering Talent: Mentor Senior and Staff Engineers, accelerating their growth and permanently elevating technical standards across the organization.
  

  
  

Discover the Requirements:

• 12+ Years of Software Engineering Experience: A proven track record operating successfully at the Staff or Principal level.

  
  

• Deep Technical Authority: Demonstrated experience designing, launching, and maintaining mission-critical production systems relied upon by other engineering teams.

  
  

• Multi-Team Architectural Leadership: Proven ability to define long-term architectural visions, clean APIs, and engineering practices that shape organizational execution.

  
  

• Current Hands-On Technical Depth: Active, day-to-day engagement with code and systems, maintaining the credibility required to solve complex bugs alongside senior engineers.

  
  

• Track Record as a Technical Multiplier: A history of elevating surrounding engineers, establishing enduring practices, and resolving the hardest cross-domain architectural challenges.

  
  

• Executive & Technical Communication: Exceptional written and verbal communication skills - capable of drafting comprehensive RFCs/architecture docs, facilitating design reviews, and articulating technical realities to executive leadership clearly and concisely.