GenAI Platform Architect for Enterprise AI

Themesoft Inc.; Columbus (OH); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Themesoft Inc. is seeking a GenAI Architect to design, guide, and implement enterprise-grade Generative AI solutions embedded within product platforms.

This role bridges AI research, engineering, and product development, ensuring GenAI capabilities are scalable, secure, and aligned with business objectives. You will own end-to-end architecture, lead integration efforts, and set standards for prompts, agents, and inference layers while enforcing security, compliance, and responsible AI practices

Qualifications

• Experience in software architecture, ML engineering, or platform engineering.
• 2+ years hands-on with AI/ML systems including Generative AI.
• Strong software engineering background (Python, Java, or similar).
• Experience with enterprise AI governance or regulated industries.
• Familiarity with open-source AI ecosystems.
• Background in data platforms or analytics engineering.

Responsabilités

• Design and own the end-to-end architecture for GenAI-powered product features.
• Guide engineering teams on best practices for GenAI development and integration.
• Establish standards and patterns for prompts, agents, and inference layers.
• Ensure security, compliance, and responsible AI principles are built into every solution.

Connaissances

GenAI architecture

ML engineering

Python/Java

Enterprise AI governance

Data platforms

Open-source AI ecosystems

Outils

GPT-family models

LLaMA-style models

Prompt engineering

Kubernetes

Description du poste

Themesoft Inc. is seeking a GenAI Architect to design, guide, and implement enterprise-grade Generative AI solutions embedded within product platforms.

This role bridges AI research, engineering, and product development, ensuring GenAI capabilities are scalable, secure, and aligned with business objectives. You will own end-to-end architecture, lead integration efforts, and set standards for prompts, agents, and inference layers while enforcing security, compliance, and responsible AI practices