AI Deployment Strategist, AI4Eng

Mistral

Melbourne

In loco

AUD 110.000 - 160.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Other location-specific perks

Descrizione del lavoro

Mistral is seeking an AI Deployment Strategist for Physics and Engineering in APAC. You will serve as the forward-deployed operator for strategic enterprise accounts across automotive, aerospace, semiconductors, and energy, delivering AI solutions end-to-end from discovery to adoption.

You will own ROI models, roadmap design, and coordination with Product, Science, and Engineering teams, while managing trust with C-level stakeholders and driving value realization.

Competenze

Advanced degree in physics or engineering (or IT) required.
5+ years of experience as a technical project manager in relevant industries (e.g., automotive, aerospace, semiconductors).
Hands-on coding with Python and ability to read design docs and engage with data scientists and ML engineers.
Strong understanding of where AI adds value in computational science (surrogate models, PDE solvers, differentiable simulation).
Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid) and basic security/compliance concepts.

Mansioni

Run technical discovery sessions to understand business and engineering requirements.
Translate business goals into an AI roadmap and high-level solution architecture.
Own end-to-end delivery from discovery to adoption across APAC accounts.
Drive governance, decision forums, milestones, and risk management.
Lead user testing, training, change management, and value realization.

Conoscenze

Python

Technical project management

Machine learning

Numerical simulations

Communication

Stakeholder management

AI strategy

Formazione

Advanced 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.

About Mistral

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