AI Deployment Strategist, Industrial Engineering / Physics , APAC

What you will do

As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end.

Discovery, Scoping & Solution Design:

• Run technical discovery sessions to understand business and engineering requirements.
• Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges.
• Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams.
• Build ROI models and business value propositions, and own scoping documents and SOW inputs.

Delivery & Program Management

• Own end-to-end delivery: discovery → design → build → deploy → adoption.
• Set up the account operating model: governance, decision forums, and cadence.
• Drive day-to-day execution: priorities, milestones, unblockers, and risk management.
• Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover).
• Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy).

Adoption, Value Realization & Expansion

• Lead user testing, training, change management, and developer enablement.
• Track value realization against agreed KPIs and report to executive sponsors.
• Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering.

About you

• Advanced university degree in physics or engineering, or IT.
• 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace.
• Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.).
• Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers.
• Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation.
• Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies.
• Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders.

We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth.

Interview Process

• Talent Acquisition screening call (30 min)
• 30 min Hiring Manager Interview
• 45 min Technical Interview (physics, simulation, and AI deep dive)
• 45 min Business Acumen Interview
• Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h)
• 30 min Value Talk
• Reference check

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.