AI Solution Architect

Position : AI Solution Architect

Location : Tampa , FL

Core Responsibilities

• Provide implementation-focused architectural support on standard initiatives across multiple platforms and technologies.
• Design, document, and implement solid technology solutions that meet business requirements.
• Develop and maintain detailed application portfolio roadmaps.
• Ensure adherence to architecture standards, security policies, and governance frameworks in all solutions.
• Lead efforts in selecting and standardizing tools, platforms, and design patterns.
• Conduct technical reviews, solution assessments, and engage in architecture discussions.
• Provide architectural and technical guidance to cross-functional teams.
• Collaborate with program and project teams to ensure alignment between architecture and delivery roadmaps.
• Create and maintain thorough documentation and artifacts related to solution architecture.
• Analyze the organizational, operational, and financial impacts of proposed solutions.
• Evaluate emerging technologies to assess their relevance and potential impact on business needs.
• Maintain knowledge of technology trends and their implications for current systems and future projects.
• Facilitate stakeholder communication and ensure cohesive alignment between business objectives and IT capabilities.

Role Responsibilities

• Design AI solutions including generative AI, machine learning, and other AI technologies
• Establish guidelines for responsible AI development and implementation
• Define data and infrastructure requirements for various AI solution types
• Evaluate AI technologies and platforms based on use case requirements
• Guide cross-functional teams on implementation approaches for different AI technologies
• Develop frameworks for AI governance, monitoring, and continuous improvement

What You'll Bring

• Bachelor's degree in Computer Science, Information Technology, or related field
• Proven experience as a Solution Architect or similar role
• Strong understanding of software architecture and technology principles
• Experience designing and implementing scalable and reliable systems

Role Qualifications

• Expertise in artificial intelligence technologies, including generative AI and machine learning
• Experience designing and implementing enterprise AI solutions
• Knowledge of AI application lifecycle handlement and operations
• Experience with AI frameworks, platforms, and integration approaches
• Hands-on experience with major AI platforms (e.g., Copilot, OpenAI, Anthropic, Google, AWS)
• Hands-on experience with major AI development platforms (e.g., GitHub Copilot)
• In-depth understanding of cloud platforms (AWS, Azure, or Google Cloud Platform) for AI/ML workloads