Principal AI Engineer || Logistics

Michael Page
Bengaluru, Karnataka, India
  • Shape next-generation agentic decision systems
  • Work closely with CXOs and business leaders to shape long-term AI strategy.

About Our Client

Our client is a global industry leader operating complex international networks where optimisation, planning, and operational excellence are critical to business success. The organisation is investing heavily in AI-powered decision intelligence, advanced optimisation capabilities, and next-generation agentic systems to transform how strategic and operational decisions are made at scale

Job Description

  • Define the technical direction for AI-augmented optimisation and intelligent decision systems.
  • Lead the optimisation intelligence agenda across network design, routing, deployment, and operational planning.
  • Guide teams of optimisation, analytics, and AI specialists to deliver scalable solutions.
  • Establish frameworks for experimentation, evaluation, and performance validation.
  • Design how AI interacts with heuristics, optimisation engines, solver technologies, and enterprise workflows.
  • Shape multi-agent systems supporting reasoning, orchestration, exception management, and human-in-the-loop decision-making.
  • Drive innovation through the identification, testing, and scaling of emerging AI and optimisation approaches.
  • Communicate technical trade-offs, assumptions, and strategic recommendations to senior leadership.
  • The Successful Applicant
  • Advanced degree in Engineering, Mathematics, Computer Science, Operations Research, or a related quantitative discipline.
  • Significant experience leading AI, optimisation, decision intelligence, or advanced analytics initiatives.
  • Deep understanding of optimisation methods, modelling techniques, heuristics, and mathematical programming.
  • Experience improving planning, routing, scheduling, or network optimisation outcomes.
  • Strong Python expertise and experience collaborating with software and data engineering teams.
  • Proven ability to lead experimentation programmes and transform technical concepts into business value.
  • Excellent stakeholder management and communication skills.
  • Desirable experience within logistics, supply chain, transportation, shipping, or other optimisation-intensive industries.
  • Exposure to AI-enhanced optimisation techniques such as reinforcement learning, surrogate models, or learning-augmented algorithms.
  • What's on Offer
  • Opportunity to define the future of AI-enabled optimisation at enterprise scale.
  • High-impact leadership position influencing strategic and operational decision-making.
  • Exposure to cutting-edge AI, optimisation, and agentic technologies.
  • Collaborative environment with highly skilled specialists across AI, analytics, and optimisation.
  • Significant scope to shape innovation strategy and long-term technical direction.

The Successful Applicant

We're Looking For Someone Who Has

  • Experience leading AI or analytics initiatives.
  • Ability to turn business questions into data-led solutions.
  • Knowledge of AI concepts and practical analytics methods.
  • Confidence working with data to find useful insights.
  • Ability to explain technical findings in clear, simple language.
  • Experience working with different business and analytics teams.Advanced degree in Computer Science, Engineering, Mathematics, Operations Research, Data Science, or a related quantitative field.
  • Significant experience designing and deploying AI, optimisation, and decision intelligence solutions within complex enterprise environments.
  • Deep expertise in operations research, mathematical optimisation, predictive analytics, machine learning, and AI-driven decision systems.
  • Strong proficiency in Python and experience working with optimisation frameworks, simulation models, and large-scale data platforms.
  • Proven track record of leading cross-functional teams and translating complex technical concepts into measurable business outcomes.
  • Experience developing solutions for network planning, routing, scheduling, logistics, supply chain, transportation, or similar optimisation-intensive domains.
  • Knowledge of modern AI approaches including agentic AI, reinforcement learning, machine learning, large language models (LLMs), and intelligent automation.
  • Ability to evaluate emerging technologies, drive innovation, and establish best practices for AI and optimisation excellence.
  • Excellent stakeholder management, communication, and influencing skills, with experience engaging senior executives and business leaders.
  • Strategic mindset combined with hands-on technical capability and a passion for solving complex operational challenges.

What's on Offer

Opportunity to shape the future of AI-powered optimisation and intelligent decision-making within a globally recognised organisation.

A highly visible leadership role with significant influence over strategic technology investments, innovation roadmaps, and business outcomes.

Exposure to cutting-edge technologies spanning Agentic AI, Machine Learning, Operations Research, Digital Twins, and Advanced Analytics.

Collaboration with world-class experts across AI, engineering, data science, optimisation, and product teams.

Quote job ref: JN-102026-7122361

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This is based in Bengaluru, Karnataka.

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