Principal Enterprise AI and Transformation Architect

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.

• 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 appropriate technical documentation and knowledge transfer.

• 8+ years of experience across business transformation, enterprise systems, solution architecture, intelligent automation, systems integration, AI enablement, consulting, or related technology disciplines.
• Demonstrated hands-on experience designing, configuring, building, integrating, testing, deploying, and supporting enterprise technology solutions.
• Practical experience developing AI-enabled workflows, copilots, intelligent agents, retrieval-augmented solutions, generative AI applications, or comparable AI capabilities.
• Hands-on experience with enterprise business systems and low-code platforms such as ERP, CRM, Microsoft Power Platform, Copilot Studio, Dynamics, Salesforce, Freshworks, or comparable technologies.
• Strong experience designing, building, and troubleshooting API-based integrations, including REST APIs, authentication, data flows, integration patterns, connectors, and event-driven processes.
• Ability to turn ambiguous business challenges into practical technical solutions, working prototypes, and production implementations.
• Experience designing human-and-AI workflows, prompts, tools, guardrails, evaluation methods, exception handling, and operational support models.
• Ability to move comfortably between executive strategy, workshop facilitation, solution architecture, configuration, development, testing, deployment, and technical support.
• Strong executive communication, facilitation, documentation, presentation, stakeholder management, and influencing skills.
• Demonstrated ability to deliver complex cross-functional initiatives in enterprise or regulated environments.
• Experience in life sciences, healthcare, GxP, SOX, or similarly regulated environments is preferred.
• A portfolio or examples of personally delivered AI, automation, integration, or