AI Deployment Strategist
Posted 23 Sep 2026
Advertised as “AI Deployment Strategist, Industrial Engineering / Physics , APAC”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyEngineering, Information Technology, Physics
Study levelMaster's
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:
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Run technical discovery sessions to understand business and engineering requirements.
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Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges.
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Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams.
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Build ROI models and business value propositions, and own scoping documents and SOW inputs.
Delivery & Program Management
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Own end-to-end delivery: discovery → design → build → deploy → adoption.
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Set up the account operating model: governance, decision forums, and cadence.
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Drive day-to-day execution: priorities, milestones, unblockers, and risk management.
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Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover).
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Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy).
Adoption, Value Realization & Expansion
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Lead user testing, training, change management, and developer enablement.
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Track value realization against agreed KPIs and report to executive sponsors.
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Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering.