AI Solutions Architect Jobs

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Design and deploy AI solutions by working closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. Prototype quickly, build the first version, get it into production, and refine based on real-world feedback. Collaborate with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. Own end-to-end delivery from discovery call to deployment, leading the technical build, testing, and iteration to ensure the experience feels natural, human, and on-brand. Drive adoption and expansion by sharing results, training teams, and embedding within the customer organization to uncover new opportunities for automation and scale. Act as the face of Bland by being the customer’s champion, traveling on-site, developing real relationships with customers and stakeholders, hosting training sessions and dinners, and providing unreasonable hospitality.

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Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

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The role involves defining the internal AI roadmap in collaboration with Security, Legal, and business leaders; operating the enterprise AI stack including LLMs, vector databases, and gateways; enforcing consistent patterns for tool calling, prompt versioning, state management, and error handling to avoid fragmented agent implementations; managing the full model lifecycle including evaluation, testing, upgrades, and deprecations. The position requires proactive interviewing of teams such as Talent, Support, and Sales to identify manual workflows for automation using agentic AI; independently building and deploying proof of concepts to demonstrate ROI before scaling; owning the token procurement process and building forecasting/chargeback models to control AI-related spend; building dashboards to monitor SLAs/SLOs such as latency, accuracy, uptime, usage, cost, and error rates; and identifying opportunities for cost-saving and performance tuning.

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Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for customers' end users. Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients' use cases. Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.

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The Salesforce Technical Architect is responsible for designing and delivering scalable, enterprise-grade cloud solutions across the Salesforce ecosystem, including Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, and Agentforce AI agents. The role includes architecting AI-enabled workflows and autonomous agents, designing enterprise data strategies leveraging Salesforce Data Cloud, and defining scalable enterprise integration architectures using MuleSoft or other iPaaS platforms. The architect provides technical leadership for development teams working with Apex, Lightning Web Components, Visualforce, and Salesforce automation frameworks, and may contribute hands-on when necessary. They ensure solutions are high performance, scalable, secure, and capable of handling large data volumes. The role involves partnering with Delivery Managers, consultants, and client stakeholders to translate business requirements into technical architectures, leading design and code reviews, and mentoring developers and consultants. Additionally, the architect evaluates and implements Salesforce AI capabilities, drives innovation initiatives, serves as a technical advisor to clients on architecture and AI adoption, contributes to internal architecture standards and reusable frameworks, and supports presales and solutioning efforts for complex Salesforce engagements.

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Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go by combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Manage up to 10 concurrent projects while feeding customer insights back to product and engineering.

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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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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 AI 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 are expected to translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape. You will collaborate closely with internal product and engineering teams, providing crucial customer feedback that influences the product roadmap and drives continuous innovation. You will develop scalable processes, robust documentation, and efficient workflows for technical integrations to drive down customer time-to-value. Additionally, you will 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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Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers by embedding deeply with their engineering teams to enable them 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 the 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 such as examples, guides, patterns, and best practices to the OpenAI Cookbook to aid the broader developer community. Gather high-fidelity product insights from customer deployments and translate these 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 software development lifecycle, 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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The Solution Engineer will partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. They will architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools, develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific client use cases, design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability. Additionally, they will communicate complex technical concepts clearly to audiences ranging from C-level executives to engineers, collaborate with product and engineering teams to contribute insights from customer engagements, and document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.