AI Enablement Engineer

- 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices - Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred - Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code - Extensive experience engineering AI solutions and excellent working knowledge of: Prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases; Model tuning, evaluation, benchmarking, and guardrails - An excellent understanding of architecture, design principles, and cloud services, such as: AWS (Azure, and GCP cloud services are optional); Enterprise architecture and microservices design; Observability and telemetry; Infrastructure as code and CI/CD - Data science experience is beneficial - Content production (e.g. marketing) is strongly beneficial - Experience navigating the legal, ethical, and security implications for AI - Thrive working both collaboratively and independently - Excellent creative, critical thinking, and problem solving skills - Enjoy and prioritize continual learning and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences - Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level - Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial - Experience with game engines is beneficial (Unity, Unreal)