Senior GenAI Solutions Architect

Cynet Systems • Charlotte, NC

7d

About The Position

The organization is seeking an experienced GenAI Architect to lead the design, governance, and delivery of enterprise AI/ML solutions in a regulated financial services environment. The role defines platform architecture, AI governance standards, agentic workflows, RAG solutions, and MLOps/LLMOps practices while driving innovation across Azure AI technologies. The architect also defines the long-term AI roadmap, mentors engineering teams, and conducts architecture reviews.

Requirements

• 10+ years of software engineering and AI/ML systems experience.
• Strong expertise in Azure AI services, cloud architecture, and enterprise-scale AI deployments.
• Proven experience with agentic AI workflows, RAG, FastAPI, and Pydantic.
• Hands-on experience with MLOps/LLMOps, model training, fine-tuning, and evaluation frameworks.
• Experience implementing AI solutions in regulated financial services environments.
• Strong understanding of AI governance, security, compliance, and observability.

Responsibilities

• Architect and govern AI platforms using Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, and Azure Storage.
• Design and oversee agentic AI frameworks, AI governance models, access controls, and observability standards.
• Lead RAG architectures, model evaluation, prompt engineering standards, and cost optimization strategies.
• Establish enterprise MLOps/LLMOps practices, including model versioning, drift detection, evaluation pipelines, and deployment governance.
• Drive security, compliance, and data governance aligned with financial industry regulations and privacy standards.
• Define the long-term AI roadmap, including on-premises/private model hosting, fine-tuning strategies, and model-routing frameworks.
• Mentor engineering teams and conduct architecture reviews.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed