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

• 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. • 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.