AI Systems Architect / Lead

Architect the Intelligence Layer of Autonomous Manufacturing

Hybrid / Remote · HQ Allentown, PA · Seed Stage

At 4MP, we are building a new technological foundation for manufacturing.

Our systems enable CNC machines to self-measure, self-correct, and continuously improve their performance — transforming conventional machine tools into autonomous precision systems.

This requires more than algorithms.

It requires a coherent intelligence architecture that integrates physics models, machine data, and AI reasoning into a unified decision layer.

We are now looking for an AI Architect and Technical Lead to define and build that architecture.

This role will shape how intelligence flows through the entire 4MP platform — from sensor data ingestion to machine-code interpretation, error modeling, and autonomous correction.

We are not looking for someone to manage AI.

We are looking for someone who designs intelligent systems from the ground up.

The Mission

Design the AI architecture that enables machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions.

You will define how AI interacts with physics-based models, machine telemetry, and CNC program structures to create a new generation of intelligent manufacturing systems.

What You Will Architect

AI architecture for interpreting and modifying CNC programs

Systems that extract machining intent from machine-code despite operator variability

Learning frameworks that combine physics-based models with AI reasoning

Feedback systems that learn from machine corrections and production results

AI infrastructure that scales across machines globally

Data architecture for capturing and structuring manufacturing intelligence

Simulation environments for training and validating autonomous correction models

Multi-layer AI systems that enable expansion into adjacent manufacturing layers

Role Nature: Platform-Level AI Leadership

This role operates at the intersection of AI architecture, industrial systems, and platform design.

You will work directly with leadership across:

* Geometry and metrology systems

* Machine physics modeling

* CNC / CAM integration

* Data infrastructure

* Platform engineering

You will define how AI becomes a foundational layer of autonomous manufacturing.

Who You Are

A builder of intelligent systems, not just models.

You think in terms of architectures, feedback loops, and scalable intelligence systems.

You are comfortable working in environments where the problem space has never been solved before.

You thrive when designing platforms that will define an entire industry category.

Technical Requirements (Must-Have)

Deep experience designing AI system architectures

Strong understanding of machine learning, optimization, and statistical modeling

Experience building production-grade AI infrastructure

Background in designing learning systems interacting with physical processes

Strong experience with data pipelines, model orchestration, and system integration

Proficiency in Python and systems-level languages (C++, Rust, Go)

Experience with modern ML frameworks (PyTorch, TensorFlow, JAX)

Strong understanding of model validation, feedback loops, and continuous learning

Experience collaborating across multidisciplinary engineering teams

Experience & Education

Required

10+ years of experience in advanced software engineering, machine learning architecture, or intelligent systems design

Demonstrated experience designing AI platforms deployed in production

Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or related field (or equivalent experience)

Preferred

Master’s or PhD in Computer Science, Robotics, or related discipline

Experience in robotics, industrial systems, or physical simulation

Experience with reinforcement learning or control systems

Experience building AI architectures for complex technical platforms

Strong Plus

Experience with physics-informed machine learning

Experience integrating AI with sensor systems and real-world telemetry

Background in industrial automation or robotics

Experience with digital twins and simulation-based training

Experience designing AI platforms that scale across distributed systems

Why This Role Matters

Defines the intelligence architecture of autonomous manufacturing

Bridges physics models and AI reasoning

Enables machines to understand and correct their own behavior

Creates the data and learning foundation for the 4MP platform

Establishes the AI layer that expands across the entire manufacturing stack

Why Join Now

We are defining the next era of manufacturing intelligence.

The decisions made now will determine how machines learn, adapt, and improve for decades to come.

Joining at this stage means architecting the intelligence layer of an entirely new industrial platform.