Strategic AI Deployment Lead for Physics & Engineering

Mistral; Singapore; On-site; SGD 180,000 - 280,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Job summary

Mistral, a leader in full-stack AI solutions, seeks an AI Deployment Strategist for APAC, based in Singapore. You will own end-to-end delivery across automotive, aerospace, semiconductors, and energy accounts, translating complex requirements into an actionable AI roadmap and coordinating with Product and Applied AI teams.

The role requires advanced physics/engineering degree, 5+ years as a technical PM, hands-on Python, and ability to communicate with C-level stakeholders.

Qualifications

• 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).
• 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.

Responsibilities

• 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.

Skills

Python

Stakeholder mgmt

Technical PM

Communication

APAC experience

Sales support

Education

Advanced degree in physics or engineering

Tools

CAE/CFD tools

Job description

Mistral, a leader in full-stack AI solutions, seeks an AI Deployment Strategist for APAC, based in Singapore. You will own end-to-end delivery across automotive, aerospace, semiconductors, and energy accounts, translating complex requirements into an actionable AI roadmap and coordinating with Product and Applied AI teams.

The role requires advanced physics/engineering degree, 5+ years as a technical PM, hands-on Python, and ability to communicate with C-level stakeholders.