AI Deployment Strategist, Industrial Engineering / Physics , APAC

About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

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 sup