openleverjobgether
Principal Enterprise AI and Transformation Architect
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-21T06:16:03.011000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:805e7d1f-a7e6-4bb1-8c38-2f501ca8b8dd
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Enterprise AI and Transformation Architect based in the United States. This is a senior, hands-on role focused on turning enterprise transformation opportunities into scalable AI, automation, integration, and business-system solutions. You will combine strategic architecture with direct technical delivery, moving initiatives from discovery and prototyping through production and stabilization. The role spans AI agents, intelligent workflows, enterprise platforms, APIs, integrations, automation, and cross-functional business processes. You will work closely with executives, business stakeholders, IT teams, and technical leaders to identify opportunities and deliver measurable business value. A significant portion of the role is dedicated to designing, configuring, building, testing, deploying, and optimizing solutions rather than providing purely strategic guidance. You will also establish reusable architecture patterns, responsible AI practices, documentation, and implementation standards that enable transformation at scale. This fully remote opportunity is ideal for an experienced technology leader who enjoys solving complex problems while remaining deeply involved in hands-on delivery. Partner with business and technology stakeholders to identify transformation opportunities, assess feasibility, and translate future-state processes into technical architectures, prototypes, and implementation plans. Lead technical delivery from discovery and architecture through development, testing, deployment, stabilization, and ongoing optimization. Design, configure, build, and deploy enterprise AI workflows, copilots, intelligent agents, automation solutions, retrieval-augmented applications, and supporting capabilities. Engineer prompts, agent instructions, tools, knowledge connections, APIs, guardrails, escalation paths, evaluation methods, and monitoring mechanisms. Design and implement enterprise-system configurations, workflows, business rules, data structures, and integrations across ERP, CRM, financial, project management, collaboration, operational, data, automation, and AI platforms. Build and troubleshoot API-based and platform-based integrations, addressing authentication, data flows, connectors, integration logic, exception handling, and event-driven processes. Create end-to-end solution architectures that balance speed, scalability, security, compliance, maintainability, user experience, and total cost of ownership. Rapidly develop proofs of concept and working prototypes, then convert successful concepts into secure, supportable, production-ready solutions. Evaluate emerging AI, automation, integration, and enterprise-platform capabilities through practical experimentation and recommend whether to build, buy, configure, integrate, or retire solutions. Embed responsible AI, privacy, security, data-use, human-oversight, testing, documentation, release, and support practices into delivered solutions. Establish evaluation and quality-assurance approaches for AI outputs, agent behavior, workflow reliability, and exception handling. Develop reusable technical patterns, components, integrations, prompt libraries, templates, and implementation playbooks to accelerate future initiatives. Communicate architecture options, tradeoffs, risks, progress, and outcomes effectively to executive, business, and technical audiences. Serve as a trusted technical partner to senior leadership while directly owning priority transformation initiatives. Mentor architects, managers, analysts, and solution teams through design sessions, pairing, reviews, and hands-on problem solving. Facilitate alignment across business teams, IT, vendors, and implementation partners without relying on direct authority. Support adoption by preparing users, process owners, and support teams for new ways of working and providing appro
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