AI Solutions Architect

Kinsley Power Systems • East Granby, CT

10h

About The Position

The Kinsley Group is seeking an AI Solutions Architect to lead the design, implementation, and governance of the organization’s enterprise data, analytics, and AI ecosystem. This role is responsible for centralizing data, semantic models, analytics, and governance under IT, while enabling scalable, trusted, and AI-ready holistic solutions across the organization.

The AI Solutions Architect owns the enterprise data and analytics architecture, establishes data governance and semantic standards, and develops an AI Strategy Roadmap with an executable delivery plan aligned to business priorities. This role serves as a strategic bridge between IT, business leadership, and operational teams—ensuring data is governed, reusable, secure, and positioned to support advanced analytics and future AI initiatives. Core platforms may include Microsoft Fabric, Power BI, and Microsoft Purview.

Requirements

• High school diploma, bachelor's degree, or relevant experience in Computer Science, Data Science, Information Systems, or a related field.
• 3+ years of experience in data architecture, analytics platforms, or enterprise data engineering.
• Strong expertise in data architecture, data modeling, and semantic layer design.
• Experience implementing data governance frameworks, preferably using Microsoft Purview.
• Strong proficiency in SQL and working knowledge of Python.
• Excellent communication, collaboration, and stakeholder management skills.

Nice To Haves

• Experience with Microsoft Fabric, Power BI, and Azure-based data platforms.
• Experience enabling or supporting AI/ML solutions in an enterprise environment.
• Familiarity with operational, telemetry, or externally sourced data domains.
• Understanding of responsible AI, data ethics, and regulatory considerations.
• Experience with conversational AI, copilots, or automation platforms.

Responsibilities

• Align AI strategy with the organization’s business goals and current data maturity.
• Maintain clear, actionable AI delivery plans that prioritize operational efficiency and organizational value.
• Establish production-ready, governed AI architecture for scalable deployment.
• Direct use cases focused on automation and analytics improvements to drive business value.
• Serve as the technical and strategic lead for AI initiatives and data analytics.
• Partner with executives, IT, and business leaders to ensure alignment with organizational objectives.
• Executes and takes ownership of technical implementation and strategic execution of AI initiatives.
• Ensure efficient, high-integrity delivery of initiatives that create measurable business value.
• Clearly explain technical concepts to audiences with varying levels of expertise.
• Define and manage enterprise data architecture to support organizational growth and protect sensitive information.
• Oversee the centralized data platform on Microsoft Fabric, ensuring seamless integration and accessibility.
• Standardize semantic models to provide consistent metrics and KPIs across the organization.
• Design integration patterns that accommodate a variety of data sources, supporting both legacy and modern systems.
• Identify and assess the integration or application of emerging technologies to explore potential business opportunities.
• Enable advanced analytics and AI/ML workloads by creating robust, scalable, and flexible data architecture.
• Lead data governance by defining ownership, standards, and policies for enterprise data assets.
• Manage Microsoft Purview to support data cataloging and governance activities.
• Enforce data quality standards and coordinate remediation processes when necessary.
• Promote governance through effective documentation and ongoing training initiatives.
• Oversee the data architecture to help deliver certified datasets and reliable reporting solutions.
• Balance self-service analytics opportunities with centralized controls to maintain data integrity.
• Deliver reusable, enterprise-grade analytics solutions for consistent business insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees