Forward Deployed AI Engineer
Forward Deployed AI Engineer who works directly with customers to design, build, and deploy production-grade AI applications for industrial operations like supply chains, energy systems, and logistics, using Avathon's Computational Knowledge Graph platform. Core work spans ML, optimization, and system design with programming in Python, Java, C++, or TypeScript/JavaScript, including up to 50% trave
- Compensation
- $130K–$180K / yr
- Location
- Pleasanton, California, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's degree in Science, Technology, Engineering
- Excellent problem-solving, critical thinking, and communication skills
- Must be authorized to work in the United States without current or future company sponsorship
- Willingness to travel to customer sites (up to 50%)
Nice to have
- Experience building AI/ML applications in production
- Strong foundation in machine learning, optimization, and system design
- Exceptional inferencing skills on applying necessary models in the field
- Proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
- Ability to reason about complex, interconnected systems (supply chains, networks, infrastructure)
- Ability to move from problem to architecture to deployment without handoffs
- An active U.S. Government security clearance
- Willingness to work directly with customers and operate in real-world environments
- Comfort operating in ambiguity, pressure, and high-stakes environments
Full description
Who We Are & Why Join UsAvathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at:
About the Role
As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards — we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality — where latency, constraints, and failure have real-world consequences.
Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems — multi-echelon supply chains, constrained production systems, global logistics networks — and turn them into continuously computing, AI-led systems. You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time.
Responsibilities
This role operates with the intensity and ownership of a founder in the field:
- Own end-to-end delivery of high-stakes deployments in operational environments
- Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning — performing continuous computation across physical networks
- Replace static planning workflows with real-time, autonomous execution applications