Solution Architect with AI/ML

Cloudious•Dallas, TX

About The Position

We are seeking a highly skilled Senior Solution Architect with a strong background in artificial intelligence and machine learning. The role focuses on AI strategy, solution design, enterprise integration, and developing innovative AI solutions that drive business value. The architect will design and implement robust AI architectures while ensuring security, governance, and responsible AI practices. The successful candidate will lead AI and ML solution delivery, develop GenAI platform and agentic AI architectures, integrate solutions with enterprise systems, and optimize performance, scalability, and FinOps. The role uses Google Cloud Platform and tools including Copilot Agent Studio, Power Platform, Playwright MCP, and Python. It also involves collaborating across teams to advance AI initiatives and foster organizational innovation.

Requirements

  • 13+ years of experience with AI/ML.
  • Strong expertise in AI and ML technologies and frameworks.
  • Proven experience in AI strategy and solution design.
  • Deep knowledge of GenAI platform architecture and agentic AI architecture.
  • Experience with enterprise integration and cloud-based solutions, particularly Google Cloud Platform.
  • Strong understanding of security, governance, and responsible AI practices.
  • Proficiency in performance optimization, scalability, and FinOps.
  • Hands-on experience with Copilot Agent Studio, Power Platform, Playwright MCP, and Python.

Nice To Haves

  • Experience leading AI/ML projects in a corporate environment.
  • Familiarity with industry standards and best practices in AI governance.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills, with the ability to work collaboratively across teams.

Responsibilities

  • Lead the design and implementation of AI and ML solutions aligned with business objectives and technical requirements.
  • Develop and execute AI strategy and solution design, focusing on GenAI platform architecture and agentic AI architecture.
  • Integrate AI solutions with existing enterprise systems to support seamless data flow and operational efficiency.
  • Establish security, governance, and responsible AI frameworks to mitigate risks associated with AI deployments.
  • Optimize AI solution performance, scalability, and financial operations (FinOps) for cost-effectiveness and efficiency.
  • Use Copilot Agent Studio, Power Platform, Playwright MCP, and Python to develop and deploy AI applications.
  • Use Google Cloud Platform to build and scale AI solutions in accordance with cloud architecture best practices.
  • Collaborate with cross-functional teams to drive AI initiatives and foster a culture of innovation.
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