Enterprise AI Architect: Platform & Governance

M2S Group; United States; On-site; USD 170,000 - 250,000; Full time

Job summary

M2S Group is seeking an AI Architect to define the technical foundation for all AI/ML systems, setting architecture standards, platform decisions, and quality gates tied to business outcomes. You’ll operate at the intersection of engineering, data, and business strategy to accelerate enterprise AI adoption.

You will design scalable, secure architectures, evaluate platforms, and mentor teams while staying ahead of AI trends to shape our roadmap and governance model.

Qualifications

• 8+ years in software or data architecture with 4+ years on ML systems.
• Deep expertise in cloud platforms (AWS, Azure, or GCP) and their ML services.
• Strong understanding of MLOps, model monitoring, and deployment patterns.
• Experience with traditional ML and modern LLM/GenAI architectures.
• Familiarity with core enterprise infrastructure architecture.

Responsibilities

• Design the enterprise AI/ML architecture, including reference patterns and multi-entity / multi-tenant architectures with governed data boundaries.
• Evaluate and select AI platforms, frameworks, and cloud services.
• Establish technical standards for model development, testing, and deployment.
• Design agentic search and retrieval systems for enterprise knowledge grounding.
• Review and approve architecture for all AI use cases before they reach production.
• Lead build vs. buy evaluations for AI tooling.
• Mentor technical team members and drive engineering excellence.
• Stay current on AI/ML technology trends and assess their relevance to our roadmap.

Skills

Python

SQL

Scala

ML concepts

MLOps

Tools

PyTorch

TensorFlow

scikit-learn

Hugging Face

Docker

Kubernetes

CI/CD

MLflow

model registries

Spark

Airflow

Job description

M2S Group is seeking an AI Architect to define the technical foundation for all AI/ML systems, setting architecture standards, platform decisions, and quality gates tied to business outcomes. You’ll operate at the intersection of engineering, data, and business strategy to accelerate enterprise AI adoption.

You will design scalable, secure architectures, evaluate platforms, and mentor teams while staying ahead of AI trends to shape our roadmap and governance model.