Enterprise AI Solution Architect

Job Description:

Enterprise AI Solution Architect

Location: Remote

Client- The Hartford Insurance Group

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Job Description:
We are seeking an Enterprise Solution Governance & Agentic AI Architect to support enterprise architecture governance, unified intake workflows, and the modernization of solution review processes through Agentic AI. This role will manage and enhance existing Microsoft Power Platform workflows while helping design future-state agent-driven governance automation.
Key Responsibilities
Manage, maintain, and enhance the enterprise unified intake process across application, data, AI, and infrastructure architecture teams.
Support the consolidation of solution governance processes across enterprise architecture, data architecture, AI architecture, and technology/infrastructure teams.
Maintain and improve existing workflows built in Power Automate, Power Apps, and Power BI.
Partner with solution architects and enterprise architecture stakeholders to gather feedback and improve governance workflows.
Participate in Agentic AI proof-of-concepts to automate manual review steps within the solution governance process.
Help convert existing Power Platform workflows into future-state agent-driven workflows.
Support dashboarding, reporting, and workflow visibility through Power BI and related tools.
Required Qualifications ( Mandatory)
8 10 years of experience across solution architecture, enterprise architecture, or architecture governance.
Prior experience as a Solution Architect or Enterprise Architect; solution architecture experience is strongly preferred.
Experience with architecture governance, solution review boards, ARB processes, standards intake, or enterprise technology governance.
Hands-on experience with Power Automate, Power Apps, Power BI, or comparable no-code/low-code workflow platforms.
Exposure to Agentic AI / GenAI solution design, ideally with hands-on POC or workflow automation experience.
Cloud-native architecture experience, preferably Google Cloud Platform; AWS experience is also relevant.
Ability to evaluate manual workflow steps and help translate them into AI-driven or agent-based automation.
Experience with Google Cloud Platform Vertex AI, Agentic AI frameworks, AI workflow orchestration, or similar technologies.
Exposure to AWS Bedrock or similar GenAI platforms.
Google Cloud Platform cloud certification
Consulting or Big Four background is helpful due to exposure to multiple enterprise technologies and governance models.