AI Deployment Strategist, Industrial Engineering / Physics, APAC Mistral AI

CDFAM; Singapore; Remoto; SGD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Mistral is seeking an AI Deployment Strategist for Physics and Engineering in APAC. You will lead the delivery of AI solutions for challenging enterprise accounts across automotive, aerospace, semiconductors, and energy, from discovery through deployment and adoption.

You will run technical discovery sessions, translate goals into an AI roadmap, manage projects, and ensure value realization with Product, Science, and Engineering teams.

Competenze

• Advanced degree in physics or engineering, or IT.
• 5+ years of experience as a technical project manager in a relevant industry (e.g., automotive, semiconductors, aerospace).
• Experience in software development, machine learning, and numerical simulations for physics/engineering (CAE, CFD, FEM, DEM).
• Hands-on coding proficiency (Python at minimum).
• Ability to explain complex technical concepts to C-level stakeholders.

Mansioni

• Run technical discovery sessions to understand business and engineering requirements.
• Identify, qualify, and prioritize use cases aligned with customer R&D and product-development challenges.
• Translate business goals into an AI roadmap and high-level solution architecture.
• Build ROI models and scoping documents; own SOW inputs.
• Own end-to-end delivery: discovery, design, build, deploy, adoption.
• Drive governance, milestones, risk management, and change control.

Conoscenze

Python

Technical project management

Communication with leaders

Formazione

Advanced university degree in physics or engineering or IT

Descrizione del lavoro

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.

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