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AI Business Solutions Engineer

Job in Irvine, Orange County, California, 92713, USA
Listing for: Sega
Full Time position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 145000 USD Yearly USD 110000.00 145000.00 YEAR
Job Description & How to Apply Below

Job Details

Job Location: Progress - Irvine, CA 92618

Position Type: Full Time

Salary Range: $ - $ Salary

Hybrid Work Model

#LI-hybrid

SEGA of America, Inc. is a rapidly expanding video games publisher and developer within the western market, and is the US arm of SEGA Sammy, a world leader in the provision of interactive entertainment both inside and outside the home. SEGA develops, publishes, and distributes interactive entertainment software products for a variety of hardware platforms such as Xbox, Play Station platforms, Nintendo platforms, PC and wireless devices.

JOB SUMMARY:

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.

DUTIES

AND RESPONSIBILITES:
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 Dev Ops 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…
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