Sr. GenAI Architect

Hyundai Capital America

$130K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 8 years of progressive experience in solution architecture, with 3 years focused on ML/LLM systems.
  • Experience in building and deploying LLM/ML models and defining RAG and multi-agent architectures.
  • Strong proficiency in Python and Rust, and experience with modern AI SDKs.
  • Demonstrated ability to design scalable GenAI architectures leveraging cloud platforms and MLOps practices.

Responsibilities

  • Define reference architecture and lead development of multi-agent architectures.
  • Partner with teams to build CI/CD systems and integrate models with data pipelines.
  • Deploy AI models into production and ensure real-time data handling.
  • Lead design reviews to ensure solutions meet business and performance standards.
  • Implement monitoring systems for ongoing model effectiveness.

Benefits

  • Hybrid work schedule with 4 on-site days and 1 remote day per week.
  • Vehicle benefits including allowances and purchase/lease discounts.
  • Flexible health coverage options with no-cost and low-cost plans available.
  • Annual employer HSA contributions to help offset healthcare costs.
  • Generous parental leave to support growing families.
Full Job Description
Description

Job Title : Sr. GenAI Architect

The Sr. GenAI Architect will own enterprise-wide end - to - end architecture for GenAI products: model selection, retrieval, agent orchestration, guardrails, observability, and reliability. This role will design and implement scalable GenAI solutions for business use cases and provide technical leadership and accelerate knowledge transfer.

HOW YOU WILL MAKE AN IMPACT

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.

Qualifications

WHAT YOU WILL BRING TO 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.

WE TAKE CARE OF OUR PEOPLE

At HCA, we know our success starts with our people. We offer a comprehensive rewards package designed to support your health, financial wellbeing, and life outside of work - so you can bring your best every day.

In addition to competitive pay, our benefits include:
Hybrid work schedule offering 4 on-site days and 1 remote day per week
Vehicle benefits designed around your role, including monthly allowances and purchase and lease discounts
Flexible health coverage with medical, dental, and vision plans, including no cost and low-cost options
Annual employer HSA contribution to help offset healthcare expenses
401(k) with company match and immediate vesting, so you can start building your future from day one
100% company paid life and disability insurance for added peace of mind
Wellbeing programs at no cost to you, including gym benefits and health resources
Generous parental leave to support growing families
Paid Volunteer Time Off, plus a company donation to a charity of your choice

At HCA, our benefits are more than perks - they're part of our commitment to supporting you at work and in life. Learn more about benefits at HCA!

WHAT HAPPENS NEXT

Express your interest by submitting an application. Once your application is received, our recruiting team will review your application to see if you meet the basic and preferred qualifications listed on the job description. For more information on our culture, visit our careers page.

OTHER DETAILS

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