The Role :

Forward Deployed AI Engineering is a team at Avathon that is rewiring how the physical world operates. In this team, you shall work directly with customers to take the hardest operational problems as we develop cutting-edge AI-based Logistics Planning, Transportation Management solutions for Shipment visibility, Carrier Management, Load Optimisation capabilities and turn them into continuously computing, AI-led systems.

A Forward Deployed AI Engineer acts as the "human bridge" between cutting-edge, often proprietary AI platforms and the complex, legacy ecosystems of Fortune 500 clients.

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 a centralized Ontology that integrates disparate data sources, analytics and AI models into Avathon's Computational Knowledge Graph (Neon-CKG). The CKG platform unifies data, constraints, and decisioning, performing continuous computation across physical networks

- Replace static planning workflows with real-time, autonomous execution applications

- Build AI/ ML driven logistics optimization and predictive ETA models 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

- Tune our standard predictive and optimization AI/ML models

- Rapid prototyping & productionisation by utilizing AI platforms to architect and deploy solutions moving quickly from PoC to production grade system.

Skills :

- Bachelor's degree in Computer Science, Engineering, Logistics, Supply Chain Management, or a related field. Masters/ MBA is a plus

- 4+ years in developing ML models within the Transportation and Logistics solutions

- Experience with AI/ML-driven logistics optimization and predictive ETA solutions. Experience with agentic AI or autonomous logistics workflows

- Experience with carrier management, load optimization (FTL/LTL), and freight audit

- Knowledge of real-time visibility platforms and IoT integration

- Experience of Logistics Planning, Transportation Management (TMS), Freight Optimization, Route Planning, or Warehouse Management (WMS)

- Knowledge of EDI, API, agents standards and logistics data exchange (EDI 204, 214, 990, 997, etc.).

- Understanding of shipment lifecycle management (booking, tendering, tracking, POD, freight audit)

- Experience with logistics/transportation software (Oracle TMS, SAP TM, Blue Yonder, project44, FourKites, or similar). Knowledge of multimodal transportation (road, rail, ocean, air) and global trade management

- 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, interconnected systems (supply chains, networks, infrastructure)

- Ability to move from problem to architecture to deployment without handoffs

- Customer facing skills : great communication skills to lead discovery sessions with C-suite stakeholders, bridge gap between technical teams and translate business challenges into actionable AI systems.

- Exceptional written communication skills : able to document builds, failures, and field observations in structured form that Product & Engineering can act on without a follow-up call