Quick overview
SeniorityLeader
Work modeHybrid
LocationUnited States
LLMGenerative AI
Job description
Hiring: Principal /Enterprise Generative AI Solutions Architect – Agentic Systems
📍 Location: Remote (Must be flexible to travel to Minneapolis, MN, when required)
Role Overview:
We are looking for a Enterprise /Principal Generative AI Solutions Architect to build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools for enterprise healthcare environments.
We are looking for a Enterprise /Principal Generative AI Solutions Architect to build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools for enterprise healthcare environments.
Key Responsibilities:
- Build and deploy production-ready AI solutions and agentic workflows.
- Integrate AI models, APIs, and enterprise healthcare systems.
- Translate solution designs into high-quality, production-ready code.
- Support end-to-end development, testing, deployment, and troubleshooting.
- Work with distributed systems and cloud platforms to deliver scalable solutions.
- Collaborate with client stakeholders to understand requirements and deliver solutions.
- Configure prompts, prepare data, and integrate AI models into enterprise applications.
- Document solution architecture, integration points, and deployment processes.
- Support knowledge transfer and contribute to reusable AI implementation frameworks.
Required Qualifications:
- Experience in client-facing technical delivery and stakeholder collaboration.
- Hands-on experience with APIs, data pipelines, distributed systems, and cloud platforms.
- Strong problem-solving, communication, and implementation skills.
- Ability to translate business and technical requirements into working AI solutions.
Preferred Qualifications:
- Master's degree in a technical discipline.
- Experience with Generative AI, LLMs, Agentic AI, and AI-powered automation.
- Strong coding practices, attention to detail, and ownership of deliverables.
- Willingness to learn emerging AI technologies and contribute to reusable solutions.
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