Remote Enterprise AI Solutions Architect

Webhosting; United States; On-site; USD 132,000 - 194,000; Full time

Job summary

Rackspace Technology is seeking a Forward Deployed Engineer to embed with enterprise clients to architect, build, and deploy high-impact AI solutions. You will own the full lifecycle from discovery and rapid prototyping to production deployment and optimization, acting as the technical bridge between AI platform capabilities and business challenges.

This role combines deep engineering with business acumen and customer empathy, offering autonomy and impact within a global technology company.

Responsibilities

• Diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.
• Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
• Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks.
• Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
• Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes).
• Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases, and knowledge base frameworks.
• Develop and fine-tune LLM/SLM solutions; implement RAG architectures and orchestrate multi-agent workflows.
• Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.
• Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production.
• Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains.
• Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements.
• Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements.
• Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.

Skills

Enterprise AI

Solution ownership

Customer engagement

Tools

Python

Node.js/Go

React/Vue

Docker

Kubernetes

CI/CD

Pinecone

Weaviate

AstraDB

LlamaIndex

Haystack

LangChain

LangGraph

CrewAI

Job description

Rackspace Technology is seeking a Forward Deployed Engineer to embed with enterprise clients to architect, build, and deploy high-impact AI solutions. You will own the full lifecycle from discovery and rapid prototyping to production deployment and optimization, acting as the technical bridge between AI platform capabilities and business challenges.

This role combines deep engineering with business acumen and customer empathy, offering autonomy and impact within a global technology company.