AI Business Solutions Engineer

SEGA OF AMERICA INC-posted 1 day ago
$110,000 - $145,000/Yr
Full-time • Entry Level
Hybrid • Irvine, CA
251-500 employees
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SEGA of America is seeking a detail-oriented and technically skilled AI Business Solutions Engineer to join our Technology Services team in a hybrid capacity based in Irvine, CA. This role will be central to SEGA’s deployment of AI solutions across the organization. As an AI Business Solutions Engineer, you will help design, deploy, and maintain advanced AI solutions to drive innovation and efficiency across the organization. Working within the Technology Services team, you’ll map and develop intelligent agents for Microsoft 365 apps, build Retrieval-Augmented Generation (RAG) solutions tailored to department needs, and help manage deployments within cloud infrastructure. Beyond technical execution, you’ll champion AI adoption through training, workshops, and collaboration with business units, ensuring AI solutions are seamlessly integrated into daily workflows.

  • Department Workflow Analysis
  • Collaborate with department stakeholders to gain a comprehensive understanding of existing workflows, processes, and challenges.
  • Conduct interviews, workshops, and surveys to identify inefficiencies, bottlenecks, and areas with automation potential.
  • Mapping Workflow to AI and Automation Tools
  • Analyze departmental workflows to determine how AI and automation solutions can be integrated to create efficiencies and reduce manual workload.
  • Develop process maps and flowcharts to visually represent the current state of workflows and proposed AI-enabled future states.
  • AI Agent & RAG Development
  • Assist in configuring and deploying AI agents to automate workflows, perform knowledge retrieval, and decision support.
  • Support the setup and testing of RAG pipelines to surface relevant department-specific data, improving speed and accuracy of information retrieval.
  • Under the guidance of management, integrate agents with internal data sources while maintaining compliance with data security standards.
  • Innovation & AI Opportunity Identification
  • Identify opportunities for automation and process improvement across departments utilizing scripting, AI, or other dev ops engineering tools.
  • Lead proof-of-concept projects exploring emerging AI technologies relevant to game development, publishing, and player engagement.
  • Maintain a repository of reusable AI workflows and prompt templates.
  • Assist the broader organization with AI governance including policies, standards, and guidelines
  • AI Architecture & Deployment
  • Collaborate with the DevOps Cloud AI Engineer to design, develop, test, and deploy scalable LLM solutions within Azure and O365 ecosystems.
  • Assist in managing and optimizing SEGA’s self-hosted AI infrastructure, including integration of multiple LLM backends (ChatGPT, Gemini, Claude, etc.).
  • Assist in implementing and maintaining secure API connections to ensure smooth integration across platforms.
  • Assist in tuning models for specific business contexts, including corporate use cases, localization, QA, marketing and others.
  • AI Solution Support
  • Monitor, debug, and optimize AI agent performance for speed, accuracy, and reliability.
  • Implement proactive health checks and performance analytics for deployed AI solutions.
  • Adoption & Training
  • Conduct workshops with departments to craft effective prompts and strategies for our internal AI models.
  • Partner with stakeholders to identify high-impact AI use cases and embed AI into creative and operational pipelines.
  • Provide clear, approachable documentation, training materials, and best practices.
  • Act as a liaison between technical teams and non-technical users, ensuring accessibility of AI solutions.
  • Conduct internal AI usage surveys to identify knowledge gaps, novel use cases, and hinderances to AI adoption.
  • Other duties as assigned.
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field—or equivalent experience.
  • 2-3+ years of professional experience in a technology support or engineering role.
  • Proficiency in self-hosting AI models, building AI agents, and RAG.
  • Experience with containerization (Docker, Kubernetes) and cloud-based deployments (Azure preferred).
  • Strong problem-solving skills with the ability to diagnose and resolve complex technical challenges.
  • Excellent communication skills for engaging stakeholders at all technical levels.
  • Comfort working in a fast-paced, creative environment with shifting priorities.
  • Experience in the gaming industry or with gaming-related AI applications (e.g., translation, playtesting, QA automation).
  • Familiarity with AI frameworks like TensorFlow or PyTorch.
  • Experience with prompt tuning, instruction-following fine-tuning, or LLM evaluation.
  • Knowledge of DevOps and CI/CD pipelines.
  • Hands-on experience with semantic search, embeddings, and vector databases.
  • Demonstrated passion for experimenting with AI technologies beyond work requirements.
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