GenAI Architect

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

Job summary

Reqroute, Inc. 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 will define platform architecture, AI governance, agentic workflows, RAG solutions, and MLOps/LLMOps practices while driving innovation across Azure AI technologies. Key responsibilities include designing agentic frameworks, leading RAG architectures, establishing deployment governance, and ensuring security

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.

Responsibilities

• 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

Agentic workflow

RAG architectures

MLOps/LLMOps

Security governance

Financial services domain

Architecture reviews

Mentoring teams

Tools

Azure AI services

FastAPI

Pydantic

Job description

Location: Charlotte, NC or Atlanta, GA (Hybrid)

Overview

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.

Key Responsibilities

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.

Top 3 Required Skills

Agentic Workflow Development Experience

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.