AI Business Solutions Engineer Business Analysis

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 PlayStation 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 SEGAs 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 youll 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 youll 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 DevOps Cloud AI Engineer to design develop test and deploy scalable LLM solutions within Azure and O365 ecosystems.
• Assist in managing and optimizing SEGAs 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.
• Working in-office is an essential function of this position. This requirement of face-to-face interaction is in place to ensure effective supervision collaboration and -office attendance is required for the following reasons:
  • For effective supervision of employees and our work product which includes ensuring all employees have necessary oversight of their work and access to supervisory assistance which includes meetings to review work product deadlines and status.
  • To foster communication and collaboration among team members which includes the following: allowing for spontaneous brainstorming sessions and exchanges of ideas quick access to team members to enable collaborative problem-solving and stronger cohesion among co-workers and within teams.
  • To enhance the sharing of information necessary to effective job performance and product creation.
  • To enhance understanding of our stakeholders work and business needs facilitate a more seamless and organic workflow and ultimately increase efficiency and successful outcomes.

QUALIFICATIONS AND SKILLS:

• Bachelors degree in Computer Science Artificial Intelligence Software Engineering or related fieldor 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.

BONUS SKILLS:

• 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.