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M2S Group

Artificial Intelligence Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

About the Role We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver ...

Allied Technologies & Consulting

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Project/Product Management and Acquisition Support

Frederick, MD · On-site

$70K - $85K/yr

... PM M2S) program office. This position is based in Frederick, MD, and will require up to 5 days on ... Track Integrated Product Team (IPT) and Working Group (WG) meetings to include scheduling meetings ...

Allied Technologies & Consulting

Be Seen First

Project/Product Management and Acquisition Support

Frederick, MD · On-site

$70K - $85K/yr

... PM M2S) program office. This position is based in Frederick, MD, and will require up to 5 days on ... Track Integrated Product Team (IPT) and Working Group (WG) meetings to include scheduling meetings ...

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Infographic showing various job openings at M2S Group in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.

Artificial Intelligence Architect

M2S Group

New York, NY • On-site, Remote

$69.75 - $89.75/hr

Full-time

Re-posted 13 days ago

Job description

About the Role
We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver scalable, secure, and governed AI solutions tied directly to business outcomes. You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise.
What You'll Do
  • 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
  • Define data architecture requirements for ML pipelines
  • 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

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

Skills
  • Languages: Python, SQL, and Scala for ML and data engineering
  • ML frameworks: PyTorch, TensorFlow, scikit-learn, and Hugging Face
  • MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries
  • Cloud & data: AWS, Azure, GCP, Spark, Airflow, and feature stores
  • LLM, GenAI & agentic search: RAG, fine-tuning, prompt engineering, vector databases, query planning, tool use, retrieval orchestration, and multi-step reasoning
  • Responsible AI: governance, model monitoring, and security by design
  • Solution mindset: design thinking, trade-off analysis, and pragmatic delivery

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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