AI Solution Architect - Palo Alto
As an AI Solution Architect at Mistral AI, the responsibilities include driving the adoption and deployment of Mistral's AI solutions by working closely with customers from strategic vision to production implementation. This involves leading executive-level workshops to identify business challenges and opportunities, co-creating AI adoption roadmaps with customers, and collaborating with Account Executives to develop business cases and align solutions with customer objectives. The role requires architecting end-to-end AI solutions that integrate Mistral's models and platform into customer workflows and infrastructure, partnering with the Applied AI team to design, prototype, and deploy solutions, and overseeing pilot projects and proofs-of-value to demonstrate technological potential. The architect serves as a trusted advisor guiding customers' AI strategies, monitoring KPIs related to business outcomes, and identifying expansion opportunities. Additionally, the role acts as a liaison between customers and internal teams, develops reusable assets and best practices for consistent delivery, and involves travel to foster client relationships and support on-site deployment.
AI Solution Architect - Montreal
The AI Solution Architect is responsible for driving the adoption and deployment of Mistral’s AI solutions by working closely with customers from strategic vision to production implementation. This includes leading executive-level workshops to identify business challenges and opportunities, co-creating AI adoption roadmaps, collaborating with Account Executives on business cases, architecting end-to-end AI solutions integrating Mistral's models and platform into customer workflows and technical infrastructure, partnering with the Applied AI team to design, prototype, and deploy AI solutions in production, executing pilot projects and proofs-of-value, serving as a trusted advisor to customers to guide their AI strategy and maximize investment value, monitoring KPIs tied to business outcomes and communicating progress to executive sponsors, proactively identifying expansion opportunities within accounts, acting as a bridge between customers and Mistral’s internal teams to influence product and research roadmaps, developing reusable assets, best practices, and playbooks to scale go-to-market efforts, and traveling approximately 30-60% to foster client relationships and support on-site deployment.
AI Deployment Engineer- Codex
Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions to help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to assist the broader developer community with Codex. Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.
AI Deployment Engineer
The AI Deployment Engineer serves as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI solutions. They engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in customers' roadmaps. The role accelerates customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. The engineer maintains strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. They contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. The engineer shares learnings and collaborates with internal teams to inform product development and improve customer outcomes. Additionally, they codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.
AI Deployment Engineer
As an AI Deployment Engineer, you will serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI (GenAI) solutions. You will engage with senior business and technical stakeholders to identify, prioritize, and validate high-value GenAI applications in their roadmap. Your role includes accelerating customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. You will maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Additionally, you will contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers, share learnings, collaborate with internal teams to inform product development and improve customer outcomes, and codify knowledge to help the Solutions Architecture team scale impact across industries and customer types.
AI Deployment Engineer
The AI Deployment Engineer is responsible for serving as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI solutions. They engage with senior business and technical stakeholders to identify, prioritize, and validate high-value GenAI applications in the customers' roadmaps. The role involves accelerating customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. The engineer maintains strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. They contribute to open-source resources and enterprise-facing technical documentation to scale best practices, share learnings, and collaborate with internal teams to inform product development and improve customer outcomes. Additionally, they codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.
Solutions architect (pre-sales) (West)
Drive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered work. Architect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problems. Lead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customers. Serve as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmaps. Partner closely with WRITER's Product and Engineering teams, providing critical feedback from customer engagements to influence the product roadmap and ensure solutions meet evolving market needs. Champion the adoption of WRITER's platform and APIs, educating prospects and partners on the art of the possible with generative AI and empowering them to build their own innovative solutions.
Solutions architecture manager
The Solutions Architecture Manager at WRITER leads and empowers a team of solutions architects, fostering their technical growth and career development across complex enterprise AI engagements. They drive the successful adoption and deployment of WRITER's generative AI platform by overseeing key pre-sales technical engagements such as use case discovery, proof-of-concept execution, and value realization for strategic customers. The role involves partnering closely with sales leadership and go-to-market teams to develop strategic account plans, define technical value propositions, and accelerate pipeline growth. Acting as an executive technical sponsor for strategic accounts, the manager builds strong relationships with C-level stakeholders and serves as a trusted advisor in AI strategy and implementation. They influence the product roadmap by gathering market insights and customer feedback, architect robust, scalable, and secure AI solutions integrating WRITER's platform with customer data and technical stacks, and transform customer evaluation and proof of concept processes to demonstrate ROI and accelerate time-to-value for clients.
Customer AI architect (post-sales) (UK)
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions. Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences the product roadmap and drives continuous innovation. Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations. Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment.
Customer AI architect (post-sales) (US)
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions. Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences the product roadmap and drives continuous innovation. Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations. Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment.
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