AI Solutions Architect Jobs

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Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

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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 that 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 help the broader developer community accelerate their work 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.

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Co-architect and co-build production AI agents with customer engineering teams; own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations; help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows; advise customers post-sale on architecture, best practices, and roadmap-level decisions; run technical demos, trainings, and workshops for developer audiences; surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers; occasionally contribute code upstream when it meaningfully improves customer outcomes.

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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 that 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 help the broader developer community accelerate their work 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.

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Co-architect and co-build production AI agents with customer engineering teams; own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations; help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows; advise customers post-sale on architecture, best practices, and roadmap-level decisions; run technical demos, trainings, and workshops for developer audiences; surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers; occasionally contribute code upstream when it meaningfully improves customer outcomes.

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As a Forward Deployed Engineer - Agents, you will lead the end-to-end implementation of AI Virtual Agents and CX automation workflows for customers, owning the entire process from discovery and scoping through launch and optimization. Responsibilities include configuring agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes; implementing guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance; building, testing, and validating integrations with enterprise systems such as CRM, ticketing, telephony, and data platforms; partnering with customer technical stakeholders to define success criteria, gather requirements, and deliver against timelines; translating customer needs into clear implementation plans and documentation; running tight feedback loops with Engineering and Product to improve platform capabilities; and collaborating with Product, Engineering, Design, and GTM teams to deliver repeatable, best-in-class deployments.

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As a deployment engineer at WRITER, you will partner deeply with enterprise customers to identify strategic AI use cases, validate technical feasibility, and own the end-to-end implementation of tailored solutions. You will architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. You will translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. Collaborating relentlessly with internal Product and Engineering teams, you will provide crucial customer feedback that directly influences the product roadmap and drives continuous innovation. Additionally, you will drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations. You will 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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As a deployment engineer at WRITER, the responsibilities include partnering deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility, and owning the end-to-end implementation of tailored solutions. The role involves architecting and delivering custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Translating intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations and guiding customers through the generative AI landscape is also required. The engineer collaborates with internal Product and Engineering teams, providing crucial customer feedback influencing the product roadmap and driving continuous innovation. Additionally, they develop scalable processes, robust documentation, and efficient workflows for technical integrations, and champion the successful adoption and expansion of WRITER's AI solutions within customer accounts to ensure maximum impact and return on investment.

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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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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.