Job Title: Lead AI Data & Cloud Solutions Architect (Claude AI + AWS) Location: 100% Remote USA (East Coast Candidates Only) Duration: 6 12+ Months (Possible Extension) Rate: $Market/Hour 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 10 15+ 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. Job Description: Responsibilities: • 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 Ideal Candidate Profile: • 10 15+ 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