AI Solutions Architect

The Kinsley Group is seeking an AI Solutions Architect to lead the design implementation and governance of the organizations 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 teamsensuring 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.

Key Responsibilities:

AI Strategy Architecture & Enablement
The architect aligns AI strategy with business objectives manages delivery and drives automation and analytics improvements responsibly.

• Align AI strategy with the organizations 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.

Leadership Collaboration & Execution
The AI Solutions Architect leads data analytics and AI initiatives aligning solutions with business goals and guiding teams.

• 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.

Enterprise Data & Analytics Architecture
The AI Solutions Architect develops secure scalable enterprise data architecture and manages the central Microsoft Fabric data platform.

• 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.

Data Governance Quality & Compliance
This role leads data governance sets ownership and standards for quality and compliance oversees Microsoft Purview and drives data remediation.

• 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.

Technology Stack & Programming Languages

• Core Platforms: Microsoft Fabric Power BI Microsoft Purview Azure Data Platform
• Preferred Programming & Query Languages: SQL Python PySpark / Spark SQL DAX KQL
• AI & Machine Learning: Familiarity with Python ML libraries feature engineering model lifecycle management and AI governance
• AI & Machine Learning: Familiarity with Python ML libraries feature engineering model lifecycle management AI governance and development of voice or chatbots leveraging natural language processing techniques.

Required Qualifications:

• High school diploma bachelors 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.

Preferred Qualifications:

• 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.

All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity or national origin.