AI Business Solutions Engineer at SEGA OF AMERICA INC

Irvine, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

145000.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, Workflow Analysis, Automation, AI Agents, RAG Development, Cloud Infrastructure, DevOps, Problem Solving, Communication, Training, Documentation, Collaboration, Data Security, Containerization, Azure, Gaming Industry, AI Frameworks

Industry

Computer Games

Description

Job Details Job Location: Progress - Irvine, CA 92618 Position Type: Full Time Salary Range: $110,000.00 - $145,000.00 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, 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 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 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. 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 teamwork. In-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 QUALIFICATIONS AND SKILLS: 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. 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.

Responsibilities

The AI Business Solutions Engineer will design, deploy, and maintain AI solutions to enhance innovation and efficiency within SEGA. This role involves collaborating with stakeholders to analyze workflows and implement AI and automation tools.