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NEXTMOVEFDE careers · United States

Forward Deployed AI Engineer

AI summary of the role

Forward Deployed AI Engineer at Avathon, the physical AI unicorn, deploying production-grade AI applications directly with customers in heavy industries like energy, mining, and logistics.

What you’ll do

  • Own end-to-end delivery of high-stakes deployments in operational environments
  • Design and implement Avathon’s Computational Knowledge Graph (CKG) that unify data, constraints, and decisioning, performing continuous computation across physical networks
  • Replace static planning workflows with real-time, autonomous execution applications
  • Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions

What you’ll bring

  • Experience building AI/ML applications in production
  • Strong foundation in machine learning, optimization, and system design
  • Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
  • Ability to reason complex, interconnected systems (supply chains, networks, infrastructure)

Technologies

Python · Java · C++ · TypeScript · JavaScript · Computational Knowledge Graph · machine learning · optimization · digital twins · computer vision

About Avathon (formerly SparkCognition)

Avathon builds AI for industrial asset performance, renewable energy, and defense/autonomy use cases.

Private Late · 200–500 people

Source and classification

Production engineering · Evidence for this classification:

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. What you will do: 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 unify data, constraints, and decisioning, performing continuous computation across physical networks Replace static planning workflows with real-time, autonomous execution applications Work
More from the job description

Who We Are & Why Join Us Avathon 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: avathon.com 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 c [... source excerpt omitted ...] al reality where latency, constraints, and failure have real-world consequences. The Role: 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. What you will do: Responsibilities This role operates with the intensity and ownership of a founder [... source excerpt omitted ...] ows with real-time, autonomous execution applications Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions Push systems into production that directly control and influence real-world operations Drive product evolution by feeding field learnings into Avathon’s core platform Preferred Skills 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 Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability to reason complex, in

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