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Principal AI Engineer || Logistics

Bangalore Permanent View Job Description
Join a senior technical leadership role focused on combining AI, optimisation, and advanced analytics to improve large-scale planning and operational decision-making. You will set the technical vision for AI-augmented optimisation, guide specialist teams, and drive innovation across intelligent decision systems and network operations.
  • 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

Job summary

Function
Analytics
Sub Sector
Predictive Modelling
What is your area of specialisation?
Transport & Distribution
Location
Bangalore
Job Type
Permanent
Job Reference
JN-102026-7122361

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.