Senior Enterprise AI Architect - Hybrid, FullStack Delivery

Realign Llc

Eden Prairie (MN)

Hybrid

USD 160,000 - 230,000

Full time

11 hours ago
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Job summary

Realign Llc is seeking an Enterprise AI Architect in Eden Prairie, MN (Hybrid) with hands-on full development experience across frontend, backend, data platforms, and cloud services. You will define enterprise AI reference architectures, establish standards, and lead AI engineering initiatives to ensure secure, scalable solutions.

Collaboration with security, platform, and business teams is essential to translate AI strategy into delivery outcomes.

Qualifications

  • Hands-on full-stack development across frontend, backend, APIs, data platforms and cloud services.
  • Experience with AI-assisted development, DevSecOps, and platform engineering.
  • Ability to design secure, scalable enterprise AI platforms with governance and compliance.
  • Proficient in modern AI tooling and code-generation frameworks.

Responsibilities

  • Lead architecture, design, and implementation of enterprise-scale AI solutions with cloud-native patterns.
  • Define enterprise AI reference architectures, standards, and guardrails for scalability and security.
  • Drive adoption of Agentic AI and AI-powered software engineering across the delivery lifecycle.
  • Architect solutions with observability, resilience, governance, security, and compliance from inception to production.
  • Collaborate with business, engineering, security, and platform teams to align AI with strategy and outcomes.
  • Oversee modernization of legacy apps via refactoring, cloud migration, and AI-assisted development.

Skills

Performance Architect

Job description

Realign Llc is seeking an Enterprise AI Architect in Eden Prairie, MN (Hybrid) with hands-on full development experience across frontend, backend, data platforms, and cloud services. You will define enterprise AI reference architectures, establish standards, and lead AI engineering initiatives to ensure secure, scalable solutions.

Collaboration with security, platform, and business teams is essential to translate AI strategy into delivery outcomes.

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