Senior Onsite AI Solutions Engineer – Enterprise

Rackspace US, Inc.; United States; Remote; USD 180,000 - 250,000; Full time

Job summary

Rackspace Technology is seeking a Senior Forward Deployed Engineer to be embedded with enterprise customers, architecting and deploying high-impact AI solutions. You’ll own the full solution lifecycle from discovery through production deployment, blending deep engineering with business acumen and customer empathy.

You will lead end-to-end design of agentic AI workflows, RAG pipelines and knowledge graphs, and collaborate with platforms and product teams to deliver measurable business value while

Qualifications

• 5+ years in software/data/AI delivery with 4+ years in client-facing or field roles.
• Proven production AI/ML deployments at enterprise scale.
• Proficient in Python and modern full-stack tech.

Responsibilities

• Diagnose business challenges, map data landscapes, and co-design AI solutions on-site.
• 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 POC 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 (Pinecone,Weaviate,AstraDB), 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

Python

LLM/AI

Full-stack development

Customer-facing experience

DevOps

Strong communication

Tools

Docker

Kubernetes

NVIDIA H100

OpenStack

VMware

Job description

Rackspace Technology is seeking a Senior Forward Deployed Engineer to be embedded with enterprise customers, architecting and deploying high-impact AI solutions. You’ll own the full solution lifecycle from discovery through production deployment, blending deep engineering with business acumen and customer empathy.

You will lead end-to-end design of agentic AI workflows, RAG pipelines and knowledge graphs, and collaborate with platforms and product teams to deliver measurable business value while