Customer AI Solution Architect

About the role

Deloitte is hiring Customer AI Solution Architects to lead the design and delivery of AI-enabled customer experiences across marketing, commerce, sales and service. You will help clients identify AI use cases, design solutions aligned with front-office platforms and operating models, and guide delivery from prototype to production. You act as a senior individual contributor with client technology executives and architects while leading a Deloitte team of developers and engineers, and you will establish reusable architecture patterns and engineering standards. Recruitment closes on January 27, 2027.

Key responsibilities

• Design agentic customer experiences for marketing, commerce, sales and service, including customer assistants, conversational commerce, personalization, sales enablement and support.
• Design agentic systems covering orchestration, planning, tool use, state management, retrieval, memory, model selection, routing, failure handling and cost management.
• Integrate AI solutions with front-office platforms using composable, headless, API-led and event-driven architectures, accounting for identity, consent, real-time data, security and latency.
• Embed oversight and safeguards: human approvals, escalation and override paths, scoped permissions, prompt-injection defenses, PII handling, audit logging and privacy and data-residency controls.
• Lead architecture and security reviews, resolve design issues and coach technical teams on reference architectures, patterns and standards.
• Lead and manage a team of developers and engineers: set technical direction, plan and assign work, run design and code reviews, manage quality and risk, and coach team members.
• Lead rapid prototypes and production delivery, establish AI evaluation, regression testing, observability, drift and latency monitoring, cost tracking and CI/CD practices, and connect delivery to business and customer outcomes.

Required profile

• 6+ years architecting and delivering high-performance enterprise technology solutions (web, mobile, commerce, CRM or integration platforms), including work before generative AI.
• Hands-on experience designing and delivering two or more AI or agentic systems deployed in production for real customers or employees.
• Ability to travel 50% on average, depending on clients and sectors.
• Limited immigration sponsorship may be available.

Required skills

• Hands-on experience with at least one agent framework (e.g., LangGraph, Google ADK, Claude SDK, Amazon Bedrock Agent Core) and foundation-model APIs for prompt and context engineering, structured outputs, tool use, prompt versioning and model evaluation.
• Experience integrating deployed AI solutions with enterprise platforms via APIs or event-driven architectures, addressing identity, consent, security, privacy and data-residency.
• Preferred: conversational or agentic experience with brand-safety and latency controls, AI coding agents, customer data and consent management, and presenting AI architecture choices to CTOs, CDOs or CMOs.