Lead AI Data & Cloud Solutions Architect (Claude AI + AWS)
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Job description
NOTE: Seeking a Lead AI Data & Cloud Architect to drive enterprise AI adoption by translating business needs into scalable, production-ready AI and data platforms. This is a hands-on leadership role requiring deep expertise in AWS cloud architecture, AI/LLM ecosystems (Claude required), data platforms, enterprise integration, and executive stakeholder engagement. Ideal candidates bring + years of experience, strong consulting and transformation delivery experience, and the ability to operate across both strategy and execution.
Job Summary: We are seeking a hands-on Lead AI Data & Cloud Architect to embed directly with business and delivery teams and accelerate enterprise AI adoption at scale. This is not a traditional DevOps or governance role. This leader will bridge business outcomes with enterprise-grade architecture, transforming AI prototypes and data solutions into secure, scalable, production-ready platforms.
The ideal candidate combines strong AWS cloud architecture, data platform engineering, AI solution delivery (Claude/LLM ecosystems), enterprise integration, and exceptional executive communication skills., Partner directly with business and product teams to define and deliver AI-enabled solutions. Convert AI concepts, PoCs, and data products into scalable enterprise platforms. Lead architecture decisions across AWS cloud, enterprise applications, APIs, and data ecosystems. Design modern data architectures supporting AI workloads and advanced analytics. Establish governance for AI-generated and AI-assisted solutions. Drive enterprise integration patterns (API-first, event-driven, streaming architectures). Define data ownership, lineage, quality standards, and operational readiness. Review engineering decisions and provide hands-on technical leadership. Translate business priorities into production-ready technical roadmaps. Enable rapid delivery without compromising maintainability and enterprise standards. Mentor engineering teams and influence stakeholders across business and technology.
Required Key Skills: Cloud & Architecture: AWS (Advanced) Cloud-native architecture Microservices Event-driven systems API Architecture (REST / GraphQL) Enterprise Integration Data & AI: Claude AI / LLM ecosystems AI Platform Engineering Data Architecture Data Products & Governance Data Lineage Data Modeling Data Lake / Lakehouse GenAI Enablement Engineering: Python Infrastructure Automation CI/CD understanding Solution Design Code Review Production Readiness Enterprise Platforms: Salesforce ERP ecosystems CRM integrations Enterprise SaaS platforms Leadership: Executive communication Stakeholder management Consulting mindset Delivery ownership Technical decision-making Embedded team leadership
Requirements
- years in Cloud/Data/Architecture roles Built enterprise data or AI platforms on AWS Experience delivering client-facing transformation programs Strong presence and polished communication skills Consulting pedigree preferred (MBB / Big 4 / Tier-1 SI) Comfortable being both strategic and hands-on