GenAI Architect - Azure, AI and ML - Charottle, NC or Atlanta, GA (Hybrid) -62641-1
Quick overview
Job description
We are seeking an experienced GenAI Architect to lead the design, governance, and delivery of enterprise AI/ML solutions for a regulated financial services environment. This role will define platform architecture, AI governance standards, agentic workflows, RAG solutions, and MLOps/LLMOps practices while driving innovation across Azure AI technologies.
Ideal Candidate: A senior AI architect who combines deep Azure expertise with hands-on GenAI, MLOps, governance, and financial-services domain experience to build scalable, secure, production-grade AI platforms.
Years of Experience: 17.00 Years of Experience
Key Responsibilities:
- Must be an Architect and govern AI platforms leveraging 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 long-term AI roadmap, including on-prem/private model hosting, fine-tuning strategies, and model-routing frameworks.
- Mentor engineering teams and conduct architecture reviews.
Required 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.
Must have:
- AI/ML Solution Design & Architecture
- Deep Azure Cloud & AI Platform Expertise
- Agentic Workflow Development Experience
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