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Enterprise AI Architect

Job in Minnetonka, Hennepin County, Minnesota, 55345, USA
Listing for: HireOn Tech
Full Time position
Listed on 2026-08-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 170000 - 250000 USD Yearly USD 170000.00 250000.00 YEAR
Job Description & How to Apply Below

We are seeking an Enterprise AI Architect with strong Full Development Experience (FDE) to lead the architecture, development, security, and modernization of enterprise-scale AI and software platforms.

The ideal candidate is a hands-on architect who can move beyond high-level strategy and actively contribute to software development, AI engineering, Agentic AI, cloud-native architecture, Dev Sec Ops , platform engineering, and enterprise data platforms
.

You will work across architecture, engineering, security, data, and platform teams to design and deliver secure, scalable, observable, and production-ready AI solutions.

Key Responsibilities
  • Lead architecture and implementation of enterprise-scale AI and cloud-native solutions.
  • Define enterprise AI reference architectures, engineering standards, frameworks, and guardrails.
  • Drive adoption of Agentic AI, AI-assisted software engineering, and intelligent automation
    .
  • Apply modern architecture patterns including Clean Architecture, Domain-Driven Design (DDD), microservices, and cloud-native design
    .
  • Build solutions with security, governance, observability, resilience, and compliance from the start.
Full Development Experience
  • Demonstrate hands-on experience across frontend, backend, APIs, data platforms, cloud services, and AI applications
    .
  • Lead modern software engineering practices including TDD, CI/CD, automated testing, code reviews, and quality gates
    .
  • Modernize legacy applications through refactoring, cloud migration, and microservices transformation.
  • Establish AI-powered engineering practices to improve developer productivity and software delivery.
AI Security & Dev Sec Ops
  • Design secure AI platforms using OWASP, Zero Trust, and enterprise cybersecurity principles
    .
  • Implement security controls for PII, PHI, HIPAA, GDPR, and regulatory compliance
    .
  • Integrate SAST, SCA, container security scanning, dependency management, secrets management, and policy-as-code
    .
  • Build auditable AI systems with governance, lineage, traceability, access controls, and compliance monitoring.
  • Design automated CI/CD pipelines with security and quality gates.
Agentic AI & AI-Assisted Development
  • Design and operationalize multi-agent AI development ecosystems
    .
  • Build AI-assisted workflows for architecture, development, testing, security reviews, documentation, and code reviews.
  • Work with tools such as:
  • OpenAI Codex
  • Enterprise AI coding assistants
  • Snowflake Cortex
  • Architect scalable enterprise data and AI platforms using Databricks, Snowflake, and cloud-native services
    .
  • Databricks Lakehouse
  • Snowflake Cortex / Co Co
  • Enable self-service analytics, conversational AI, semantic data access, and enterprise-scale data engineering.
Required Qualifications
  • 10+ years of experience in software engineering, solution architecture, enterprise architecture, or related technology roles.
  • Strong hands-on software development background with Full Development Experience (FDE).
  • Proven experience architecting and implementing enterprise AI solutions
    .
  • Strong knowledge of Agentic AI and AI-assisted software engineering
    .
  • Experience with cloud-native architecture, microservices, APIs, CI/CD, Dev Sec Ops , and platform engineering
    .
  • Strong experience with Databricks and/or Snowflake
    .
  • Experience implementing enterprise security, governance, compliance, and observability.
  • Strong understanding of modern software architecture, DDD, Clean Architecture, TDD, and engineering best practices
    .
  • Experience working with AI-powered developer tools such as Git Hub Copilot, Claude Code, or OpenAI Codex
    .
  • Excellent communication and stakeholder management skills with the ability to work across engineering, security, data, and business teams.
Preferred Qualifications
  • Experience designing multi-agent AI systems and enterprise Agentic AI frameworks.
  • Experience with Databricks Genie, Snowflake Cortex/Co Co , or similar enterprise AI capabilities.
  • Experience in regulated environments involving HIPAA, PHI, PII, or GDPR
    .
  • Experience establishing enterprise AI governance and reference architectures.
  • Experience leading large-scale cloud modernization and legacy transformation initiatives.
What You'll Do

This is a hands-on Enterprise AI Architect role for someone who can combine architecture, software engineering, AI, security, Dev Sec Ops , and enterprise data to deliver real production solutions.

If you are passionate about using AI to transform how enterprise software is architected, developed, secured, tested, and deployed
, we would like to hear from you.

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