Mistral

1 week ago

AI Deployment Strategist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Drive customer adoption and deployment of AI solutions from strategic vision to production implementation. Lead executive workshops to identify high-impact use cases, co-create AI adoption roadmaps, and build business cases that quantify ROI. Architect end-to-end AI solutions integrating Mistral models and platform, partner with Applied AI to prototype and deploy in production, and lead pilot/proofs-of-value. Serve as a trusted advisor and bridge presales to postsales, traveling to support on-site deployment.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead executive-level workshops to identify business challenges and opportunities for AI step-change improvements.
•Co-create AI adoption roadmaps and business cases with Account Executives, including ROI quantification.
•Architect end-to-end AI solutions integrating Mistral models and platform into customer workflows and infrastructure.
•Partner with the Applied AI team to design, prototype, and deploy AI solutions in production; execute pilots and proofs-of-value.
•Serve as a trusted advisor by monitoring KPIs tied to outcomes, communicating progress to executive sponsors, and identifying expansion opportunities.

Travel: Extensive travel

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
•Degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering).
•Foundational knowledge of AI/ML/Data Science to advise both technical and non-technical audiences.
•Hands-on experience building and deploying AI applications using Python, JavaScript, or similar.
•Executive presence and communication skills to influence senior stakeholders (VP, C-level).

Experience:2+ yearsAIML

Education:

Skills:Business acumenProblem-solvingExecutive communicationResults-drivenLeading through influence

Tech Stack:PythonJavaScriptLLMsAI/MLData Science

Company Brief

Mistral

Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn

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Mistral

1 week ago

AI Deployment Strategist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead executive-level workshops to identify business challenges and opportunities for AI step-change improvements.
•Co-create AI adoption roadmaps and business cases with Account Executives, including ROI quantification.
•Architect end-to-end AI solutions integrating Mistral models and platform into customer workflows and infrastructure.
•Partner with the Applied AI team to design, prototype, and deploy AI solutions in production; execute pilots and proofs-of-value.
•Serve as a trusted advisor by monitoring KPIs tied to outcomes, communicating progress to executive sponsors, and identifying expansion opportunities.

Travel: Extensive travel

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales).
•Degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering).
•Foundational knowledge of AI/ML/Data Science to advise both technical and non-technical audiences.
•Hands-on experience building and deploying AI applications using Python, JavaScript, or similar.
•Executive presence and communication skills to influence senior stakeholders (VP, C-level).

Experience:2+ yearsAIML

Education:

Skills:Business acumenProblem-solvingExecutive communicationResults-drivenLeading through influence

Tech Stack:PythonJavaScriptLLMsAI/MLData Science

Company Brief

Mistral

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn