GenAI Architect

VDart Inc; Atlanta (GA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

VDart Inc. seeks a GenAI Architect to lead enterprise AI platform design and governance across Azure services in Charlotte, NC or Atlanta, GA (Hybrid).

The role drives agentic AI systems, RAG architectures, model evaluation, and robust MLOps, with emphasis on security and compliance for regulated financial services. You will mentor teams and shape the long-term AI roadmap, including on‑prem hosting and tuning.

Qualifications

• 10+ years of software engineering and AI/ML systems experience.
• Strong expertise in Azure AI services, cloud architecture, and enterprise 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 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.

Skills

Experience >10 years

Azure AI services

Agentic AI

RAG architectures

MLOps/LLMOps

Regulated finance

AI governance

Security & compliance

Observability

Tools

FastAPI

Pydantic

Azure Functions

Azure Storage

Azure AI Foundry

Azure AI Search

Job description

Job Title: GenAI Architect
Location: Charlotte, NC or Atlanta, GA (Hybrid)
Job Type: Contract

Responsibilities

• 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.

Skills

• 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