Senior GenAI Architect: Azure, MLOps & Governance

New York Technology Partners; Charlotte (NC); Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

New York Technology Partners is seeking an experienced GenAI Architect to lead design, governance, and delivery of enterprise AI/ML solutions for regulated financial services. You will define platform architecture, AI governance standards, agentic workflows, and MLOps/LLMOps practices across Azure technologies.

In this senior role, you will mentor engineering teams, drive security and data governance, and shape the long-term AI roadmap including on-prem model hosting and cost optimization

Qualifications

• 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.

Responsabilités

• 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 long-term AI roadmap, including on-prem/private model hosting, fine-tuning strategies, and model-routing frameworks.
• Mentor engineering teams and conduct architecture reviews.

Connaissances

Agentic Workflow Development

Description du poste

New York Technology Partners is seeking an experienced GenAI Architect to lead design, governance, and delivery of enterprise AI/ML solutions for regulated financial services. You will define platform architecture, AI governance standards, agentic workflows, and MLOps/LLMOps practices across Azure technologies.

In this senior role, you will mentor engineering teams, drive security and data governance, and shape the long-term AI roadmap including on-prem model hosting and cost optimization