Senior AI Solutions Engineer - Remote, 25% Travel

Rackspace US, Inc.; United States; Teletrabalho; USD 166 000 - 243 000; Tempo integral

Resumo da oferta

Rackspace Technology is seeking a Senior Forward Deployed Engineer to be embedded with our strategic enterprise customers. You will architect, build, and deploy AI solutions, owning the full lifecycle from discovery to production and optimization.

You will work remotely with 25% travel for on-site engagements, bridging Rackspace AI platform capabilities with customer business challenges and driving end-to-end delivery across data, ML, and integration layers.

Qualificações

• Must be Palantir certified.
• 6+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.
• Proven track record in building and deploying AI/ML applications in production at enterprise scale.
• Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases.

Responsabilidades

• Diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site with customers.
• Lead end-to-end 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.

Conhecimentos

Python

Full-stack

LLMs

Prompt engineering

LangChain

Docker

Kubernetes

System integration

Ferramentas

LangChain

Weaviate

Pinecone

AstraDB

OpenStack

VMware

NVIDIA GPUs

Descrição da oferta de emprego

Rackspace Technology is seeking a Senior Forward Deployed Engineer to be embedded with our strategic enterprise customers. You will architect, build, and deploy AI solutions, owning the full lifecycle from discovery to production and optimization.

You will work remotely with 25% travel for on-site engagements, bridging Rackspace AI platform capabilities with customer business challenges and driving end-to-end delivery across data, ML, and integration layers.