A.P. Moller - Maersk logo

Principal AI Engineer Optimisation Intelligence and Agent Orchestration

A.P. Moller - Maersk
Posted a month ago

LOCATION

Bengaluru · Onsite

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

Agent OrchestrationPythonMachine LearningOptimizationSystem DesignReinforcement learning

Job description

Overview

Lead the technical direction for AI-augmented optimisation and intelligent operational decisioning across Network Design and Ocean Operations. Guide specialists and shape AI, optimisation, and agentic decision systems for planning and execution.

What you'll do

  • Lead optimisation intelligence across network design, routing, vessel deployment, cargo flow, and operational decisioning.
  • Set direction for problem framing, optimisation approaches, heuristics, search, and AI-enhanced decision quality.
  • Guide specialists building optimisation models, analytical components, and AI capabilities.
  • Drive experimentation to evaluate methods and improve performance, robustness, and scalability.
  • Define how AI interacts with solver layers, heuristics, optimisation services, and enterprise workflows.
  • Lead agentic AI for reasoning, orchestration, exception handling, and human-in-the-loop support.
  • Communicate assumptions, trade-offs, and limitations to senior stakeholders.

What you'll need

  • Advanced degree in engineering, mathematics, computer science, operations research, or another quantitative field.
  • Significant experience leading applied AI, decision intelligence, optimisation, or analytical platform work.
  • Strong understanding of optimisation and modelling principles.
  • Experience improving planning, routing, scheduling, or network optimisation.
  • Strong Python skills and collaboration with software and data engineering teams.
  • Ability to lead experimentation and validate model performance.
  • Strong communication skills for explaining technical trade-offs to non-technical stakeholders.

Nice to have

  • Experience in logistics, supply chain, shipping, transportation, or another optimisation-heavy industry.
  • Exposure to large-scale network design, routing, fleet planning, or cargo flow optimisation.
  • Experience with learning-augmented algorithms, surrogate models, search guidance, or reinforcement learning.
  • Experience taking optimisation methods from research and prototyping into production.

Details

  • Location: Bengaluru, Karnataka, India.

Read the full description and apply on the company’s own careers page.

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Principal AI Engineer Optimisation Intelligence and Agent Orchestration