AI Solution Architect

Location / Remote:

Remote -- Candidates who reside outside the United States will be considered. Time Zone:

Must be willing to work Eastern Timezone Hours

Communication

: Only candidates with professional-level English proficiency will be considered.

Employment Type:

12-month contract (W-2, C2C).

Compensation:

Up to 33 U.S. dollars per hour (depending on experience).

This role focuses on designing and delivering enterprise-grade AI-driven automation solutions. The Agentic Solutions Architect will play a hands-on role in architecting secure, scalable, and production-ready intelligent automation systems that integrate AI agents, enterprise platforms, APIs, and data systems. Success in this position requires deep technical expertise, a strong understanding of automation architecture, and the ability to guide teams in implementing innovative AI solutions.

Responsibilities:

Architect enterprise-grade intelligent automation solutions integrating AI agents, APIs, and enterprise platforms. Design and implement multi-step workflows involving AI agents, RPA bots, and enterprise applications. Establish architecture patterns for orchestration, exception handling, approvals, and auditability. Leverage Microsoft Copilot and Power Platform AI tools, including Copilot Studio and Power Automate. Architect secure integrations between AI agents, automation platforms, and enterprise data systems, particularly Databricks. Provide technical leadership and guidance to development teams. Evaluate emerging agent technologies and recommend best practices for adoption. Develop repeatable architecture standards, patterns, and governance practices for AI automation.

Required Skills:

7+ years of experience in solution architecture, enterprise automation architecture, or similar roles. Proven experience delivering AI-driven or intelligent automation solutions in production environments. Hands-on expertise with Microsoft Copilot / Power Platform AI capabilities (e.g., Copilot Studio, Power Automate). Familiarity with Azure AI services or Microsoft AI Foundry. Strong experience designing API-driven integrations and distributed automation architectures. Experience integrating automation solutions with enterprise data platforms, with a preference for Databricks. Ability to design secure, scalable, and production-ready AI automation solutions.

Preferred Skills:

Experience with enterprise RPA platforms such as UiPath or similar. Experience designing multi-agent workflows or human-in-the-loop automation systems. Experience supporting enterprise Automation or AI Centers of Excellence. Expertise in establishing architecture standards, reusable components, and automation governance frameworks.