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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Architect - **Company:** Hyundai Capital America (HCA) - **Location:** Irvine, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Databases, Continuous Delivery, Continuous Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Cloud Services, Secure Coding, Systems Integration, Management of Software Versions, Enterprise Data Management, Data Logging, Scripting, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, Information Technology, Deployment Automation, Performance Monitor, Real Time Data, Data Management, Machine Learning Operations, Software Coding, Multiplatform - **Published:** August 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-genai-architect-irvine-ca--eabf5923-ea97-4a2d-a01b-a126bda187ab ## About the Role * Bachelor's degree in Computer Science, Engineering, or related field. * Minimum 8 years' progressive experience in solution architecture; 3 years in ML/LLM systems. * Experience building and deploying LLM / ML models, connecting LLMs with APIs, defining RAG and multi-agent architectures, and cross-platform agent deployment. * Prior leadership of production RAG and agent systems at scale preferred. * Strong proficiency in Python/Rust and modern AI SDKs * Strong with Python backends, cloud services, vector databases, and eventing. * Proven ability to design scalable GenAI architectures leveraging cloud platforms and MLOps practices. * Strong mentoring and technical leadership skills. * Demonstrated ability to create architectural diagrams and technical documentation for non-technical stakeholders. * Exceptional problem-solving and analytical skills. * Excellent written and verbal communication skills as well as strong organizational skills.. * Excellent interpersonal skills to successfully collaborate with cross functional departments. * Ability to work autonomously and in a team environment. * Self-motivated and proactive with demonstrated creative and critical thinking capabilities * Ability to manage simultaneous projects and complete multiple tasks. * Strong orientation toward results coupled with reputation for integrity and good judgment * Must have the ability to challenge, when appropriate, existing practices., Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Backend as a Service (BaaS), Business Case, Cloud Architecture, Coding Standards, Communication Skills, Community Support, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Entry, Data Management, Data Modeling, Disability Insurance, Diversity, EEO Regulations, Employment Law, Enterprise Data Integration, Finance, Health Plan, Healthcare, Identify Issues, Insurance, Interpersonal Skills, Knowledge Transfer, Leadership, Life Insurance, Medical Genetics, Mentoring, Military, Multiplatform/Cross-Platform, Multitasking, Organizational Skills, Performance Analysis, Presentation/Verbal Skills, Production Systems, Project/Program Management, Python Programming/Scripting Language, Reporting Dashboards, Return on Investment (ROI), Sales, Secure Coding, System Integration (SI), Team Lead/Manager, Team Player, Technical Leadership, Technical Writing, Technical/Engineering Design, Use Cases, Volunteer Experience, Writing Skills ## Description 1. Define reference architecture (LLM selection, RAG, agent framework, APIs). Lead development of agentic and orchestrated multi-agent architectures. Establish coding standards, secure patterns, and SRE/observability baselines. 2. Partner with internal teams to build CI/CD, model registry, feature stores, vector database. Collaborate with engineers to integrate models with enterprise data pipelines for data/model/artifact versioning and automate deployments. Operate model/agent registries and governance hooks (approval gates, audits). Set up tracing, logging, eval integration, and cost dashboards. Architect scalable pipelines, including model training, deployment, monitoring, and CI/CD workflows 3. Deploy AI models into production environments and ensure that models are integrated into existing systems and can handle real-time data inputs effectively. Troubleshoot issues that arise during model deployment and operation to ensure solutions are implemented quickly to minimum downtime. Continually monitor performance to detect any issues, such as drops in accuracy or changes in data patterns. Implement monitoring systems to ensure models remain effective over time. 4. Lead design reviews and technical decisions to ensure AI solutions meet business objectives, performance standards, and ROI goals. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [JavaScript? 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