Lead AI Data & Cloud Solutions Architect (Claude AI + AWS)
Location: 100% Remote – USA (East Coast Candidates Only)
Duration: 6–12+ Months (Possible Extension)
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
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