AI Solution Architect

Kforce has a client in Davie, FL that is seeking an experienced AI Solution Architect to lead the design and governance of enterprise-scale agentic AI solutions. This role will define AI architecture standards, evaluate platforms and models, establish governance frameworks, and guide the adoption of secure, scalable, and cost-effective AI capabilities across the organization. Responsibilities:

• Develop AI strategy, roadmaps, and enterprise architecture standards aligned with business objectives
• Design scalable agentic AI, RAG, and AI knowledge architectures
• Define standards for APIs, agent frameworks, integrations, observability, security, and governance
• Evaluate AI platforms, models, and vendors while leading build-versus-buy decisions
• Establish GenAIOps practices, performance metrics, and cost optimization strategies
• Design AI security controls, guardrails, identity management, and responsible AI frameworks
• Partner with engineering, data, security, and business teams to deliver enterprise AI solutions
• Present architectural recommendations and technology roadmaps to executive stakeholders
• Mentor teams and promote AI engineering best practices

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of enterprise software engineering and solution architecture experience
• Experience architecting generative AI solutions using Azure OpenAI, Azure AI Foundry, AWS Bedrock, or Google Vertex AI
• Strong expertise with agentic AI, multi-agent systems, and RAG architectures
• Hands-on experience with LangGraph, LangChain, Semantic Kernel, LlamaIndex, or similar frameworks
• Proficiency with Python, cloud architecture, Kubernetes, APIs, and microservices
• Knowledge of AI governance, security, and frameworks such as NIST AI RMF or ISO/IEC 42001
• Experience with enterprise data architecture, integrations, and customer data platforms
• Strong communication skills and ability to influence technical and executive stakeholders

Preferred Qualifications:

• TOGAF or cloud architecture certifications
• Multi-cloud experience across Azure, AWS, and GCP
• Databricks, Snowflake, or lakehouse architecture expertise
• Experience with model fine-tuning, small language models, and AI cost optimization
• Enterprise-scale identity, authorization, and governance experience

Additional Required Skills:

• Agentic AI
• Generative AI
• RAG
• Azure OpenAI
• AWS Bedrock
• Vertex AI
• LangGraph
• LangChain
• Python
• Cloud Architecture
• Kubernetes
• AI Security
• API Architecture
• Data Architecture
• GenAIOps