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Senior AI Agent Architect

Location

California

Posted

115 days ago

Salary

$152.5K - $200K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishPython

Job Description

Senior AI Agent Architect

Visual Concepts

• Design and implement AI-driven agents that assist, collaborate with, or autonomously perform complex development tasks across large-scale game projects • Create agents that can understand game engine context, assist in asset generation, debug complex systems, or simulate player behavior at scale • Identify bottlenecks in traditional game dev (design, QA, coding, or art) and bridge the gap with AI-driven solutions that turn weeks of manual work into hours of supervised generation • Collaborate with gameplay engineers and technical artists to integrate these agents into our proprietary engine and toolsets • Explore novel applications of modern AI techniques (e.g., LLMs, reinforcement learning, multi-agent systems) to create new ways of building, iterating on, and shipping games • Work closely with engineers, designers, artists, and technical leadership to identify high-impact opportunities for AI-powered transformation • Prototype, evaluate, and iterate on experimental systems, balancing long-term vision with practical integration into real production environments • Help define internal platforms, tools, and architectures that enable AI agents to operate safely, effectively, and at scale within our development ecosystem • Stay ahead of emerging research and industry advances, translating pioneering ideas into production-ready solutions

Job Requirements

  • 5+ years in Software Engineering, with at least 2+ years focused specifically on AI/Machine Learning
  • BS/MS in Computer Science, AI, Robotics, or a related field (or equivalent "in-the-trenches" experience)
  • Strong background in AI, machine learning, or applied research, with experience building real-world systems (not just models)
  • Hands-on experience with modern AI frameworks and techniques, such as large language models, agent frameworks, reinforcement learning, or hybrid symbolic/ML systems
  • Excellent software engineering skills, with experience working in large, complex codebases
  • Expert-level proficiency in Python (for AI/Tools) and C++ (for Engine integration)
  • Demonstrated success deploying agentic workflows or complex ML models into production environments
  • Ability to think beyond incremental optimization and envision entirely new workflows enabled by intelligent systems
  • Strong communication skills and the ability to collaborate across teams
  • Passion for games, interactive systems, or creative technology is a major plus.

Benefits

  • medical, financial, and/or other benefits
  • bonus and/or equity awards

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