Lead Remote Enterprise AI Solutions Architect

Brightly Software

Raleigh (NC)

On-site

USD 145,000 - 249,000

Full time

4 hours ago
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Job summary

Siemens is seeking an AI Solutions Architect to lead design and delivery of enterprise AI solutions across Sales, Marketing, HR and internal ops. You will bridge business needs with IT, data, and security teams, shaping internal AI adoption and delivering production-grade capabilities.

You’ll build scalable AI solutions, integrate with CRM/ERP/HRIS, and drive pilots to production while ensuring data governance and responsible AI practices.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
  • 8+ years of technical work experience, including 5+ years in solutions architecture, software engineering, or data/AI roles.
  • Proven experience designing and deploying AI/ML or generative AI solutions in enterprise environments.

Responsibilities

  • Design and deliver AI-powered solutions, including LLM apps, agents, and workflow automation across functions.
  • Architect secure, scalable integrations with CRM, ERP, HRIS, and other systems.
  • Partner with stakeholders to translate needs into technical roadmaps and guardrails.
  • Build rapid prototypes and pilot productions, measuring business impact.
  • Champion adoption with training, docs, and best practices.

Skills

LLM platforms
REST APIs
Python
Cloud platforms
Stakeholder mgmt
AI/ML deployment
Enterprise integration
Prompt engineering

Education

Bachelor's degree in CS/ENG or related

Tools

Claude Code
n8n
MLOps tools

Job description

Siemens is seeking an AI Solutions Architect to lead design and delivery of enterprise AI solutions across Sales, Marketing, HR and internal ops. You will bridge business needs with IT, data, and security teams, shaping internal AI adoption and delivering production-grade capabilities.

You’ll build scalable AI solutions, integrate with CRM/ERP/HRIS, and drive pilots to production while ensuring data governance and responsible AI practices.

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