Azure Data and AI Solution Architect

RESPONSIBILITIES:
Kforce has a client that is seeking a Microsoft Azure Data and AI Solution Architect in Tampa, FL.

Essential Functions:
* Designs and delivers Azure-based data and AI solutions aligned to business needs
* Leads development of end-to-end Azure data and AI ecosystems
* Partners with cross-functional teams (data engineering, data science, IT, business) to implement scalable cloud architectures
* Drives adoption of best practices across data, AI, governance, and cloud operations

Key Responsibilities:
Azure Data & AI Ecosystem:
Design, implement, and integrate Azure services, including:
* Azure Data Fabric, Data Factory, OneLake, Purview, AI Foundry, Azure ML, Cognitive Services, Power BI, Power Automate
* Build and execute a multi-year roadmap for Azure data and AI ecosystem development
* Optimize the ecosystem to support scaling complexity and advanced AI use cases
* Implement performance monitoring and embedded metrics for data/AI solutions
* Manage and administer Azure environment ensuring security, compliance, and best practices
* Oversee cost management, budgeting, and consumption tracking for Azure services
* Orchestrate development, testing, integration, and deployment of AI models and solutions
* Coordinate across teams to ensure smooth handoff to support and operations
* Troubleshoot and resolve cloud infrastructure and application issues

Collaboration & Leadership:
* Partner with IT, data engineers, analysts, data scientists, and business stakeholders
* Provide technical leadership and mentorship to data team members
* Stay current on Azure services and recommend continuous improvements and innovations

Additional Focus Areas:
* Support data observability and AI explainability initiatives
* Ensure governance, transparency, and alignment with data standards and policies

REQUIREMENTS:
* Bachelor's or Master's in Computer Science, Data Science, Information Systems, or related field
* 8+ years of experience in cloud architecture and AI/data ecosystem design
* Proven experience as a solution architect in cloud environments
* Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer) preferred

Technical Skills:
* Azure Data Services: Data Fabric, Data Factory, OneLake, Data Warehouse
* AI Services: Azure AI Foundry, Azure Machine Learning, Cognitive Services
* Integration & Apps: API Management, Application Gateway, Power Automate
* Data Engineering: Data modeling, ETL processes, data warehousing
* Programming: Python, R, SQL
* Visualization: Power BI
* Data Governance & Security: Governance frameworks, compliance, lineage tools
* AI Lifecycle: End-to-end model development, deployment, and maintenance

Soft Skills:
* Strong analytical and problem-solving abilities
* Excellent communication and stakeholder engagement
* Ability to lead projects and mentor junior team members
* Insurance or claims domain experience preferred

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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