Level

Mistral AI

AI Deployment Strategist, Industrial Engineering / Physics , APAC

Mistral AI is hiring an AI Deployment Strategist, Industrial Engineering / Physics , APAC for a remote role open to applicants in Singapore. Level rates it ; you can apply on Level.

AI in this role

Lead end-to-end deployment of AI solutions for physics and engineering challenges across strategic enterprise accounts in the APAC region.

mistral-models
ai-solution-architecturetechnical-discoveryprogram-managementstakeholder-managementroi-modelingchange-management

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 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.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

AI Deployment Strategist, Industrial Engineering / Physics , APAC at Mistral AI rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Solution ArchitectureTechnical DiscoveryProgram ManagementStakeholder ManagementRoi ModelingChange ManagementMistral Models

Questions you could be asked

  1. Tell me about a project where ai solution architecture was part of your work. What did you do?
  2. Tell me about a project where technical discovery was part of your work. What did you do?
  3. Tell me about a project where program management was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?
  5. Tell me about a project where roi modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Solution Architecture, Technical Discovery, Program Management, Stakeholder Management, and Roi Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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