AI Deployment Strategist – Defence

Mistral AI

AI Deployment Strategist driving adoption and deployment of Mistral’s AI solutions in the public sector. Collaborating closely with customers to ensure transformative outcomes and successful implementation.

Posted 5/12/2026full-timeSingapore • 🇸🇬 SingaporeJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Lead executive-level workshops with public sector leaders to identify mission-critical challenges and opportunities where Mistral’s AI can drive step-change improvements.
Co-create AI adoption roadmaps with government and institutional customers, articulating the “art of the possible” while addressing regulatory, ethical, and operational constraints.
Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with public sector objectives—such as digital transformation, citizen services, and operational efficiency.
Architect end-to-end AI solutions, integrating Mistral’s models and platform into public sector workflows and technical infrastructure.
Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, compliance, and public value.
Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment in government and institutional settings.
Serve as a trusted advisor to public sector customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
Monitor key performance indicators (KPIs) tied to both business and societal outcomes, and communicate progress to executive sponsors and political stakeholders.
Proactively identify expansion opportunities within public sector accounts, building on initial successes to drive long-term partnerships.
Act as the bridge between public sector customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in the public sector.

Requirements

What you’ll need

2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
Executive presence and communication skills to influence senior stakeholders (VP, C-level).
Hands on experience building and deploying AI applications (Python)
Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.

Benefits

Comp & perks

💰 Competitive cash salary and equity
🚑 Health Insurance
🥎 Sport : $90 for gym membership allowance
🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)
🚴 Transportation : $120/month for public transport or Parking charges reimbursed

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Hard Skills & Tools

AIMLData SciencePythonJavaScriptAI applicationsbuilding and deployingquantifying ROIdigital transformationoperational efficiency

Soft Skills

executive presencecommunication skillsproblem-solvingbusiness acumencollaborative leadershipinfluencing stakeholdersresiliencestrategic thinkingclient-facingtrust advisor