Customer AI Solution Architect

Responsibilities: Architect AI-enabled customer experiences for marketing, commerce, sales, and service, including agents, personalization, and support flows Design agentic systems covering orchestration, memory, retrieval, routing, and cost management, evaluating value of agentic vs deterministic approaches Integrate AI solutions with front-office platforms using API-led, headless, event-driven architectures while addressing identity, consent, real-time data, security, and latency Embed governance with oversight, approvals, permissions, PII handling, audit logging, privacy, and data residency controls Lead architecture and security reviews with stakeholders and coach teams on reference architectures and engineering standards Lead Deloitte teams of developers and engineers, set direction, plan work, review design/code, manage quality and risk, coach team members Drive rapid prototypes and production delivery using AI-accelerated engineering practices, establish CI/CD, observability, drift/latency monitoring, and cost tracking Collaborate with stakeholders to prioritize use cases and align delivery with business and customer outcomes

Key requirements: 6+ years architecting and delivering high-performance enterprise tech solutions including pre-gen AI contexts Hands-on experience delivering two or more AI solutions or agentic systems in production for marketing, commerce, sales, or service Hands-on experience designing agentic systems with orchestration, tool integration, RAG, memory, model selection, routing, and failure handling Hands-on production experience with at least one agent framework (LangGraph, Google ADK, Claude SDK, or Amazon Bedrock AgentCore) and related APIs for prompt/context engineering, tool use, versioning, or evaluation Experience integrating AI solutions with enterprise platforms via APIs or event-driven architectures, addressing identity, consent, real-time data, security, privacy, and data residency Ability to travel ~50% and willingness to operate across client environments Independent but collaborative work style Strong written and verbal communication Attention to detail and quality AI solution design and delivery in marketing/commerce/sales/service Agentic systems with orchestration, retrieval, memory, routing, and failure handling Production-grade AI frameworks and agent tooling (LangGraph, Google ADK, Claude SDK, Amazon Bedrock AgentCore)