Senior Enterprise AI Architect & Deployment Lead

Rackspace Technology; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Rackspace Technology is seeking a Senior Forward Deployed Engineer to embed with strategic enterprise customers, architecting, building, and deploying AI solutions. You will own the full lifecycle from discovery through production, delivering high-impact, production-grade AI applications.

The role blends engineering depth with business acumen, customer empathy, and cross-functional collaboration, requiring strong communication with executives and hands-on leadership in complex deployments.

Qualifications

• Must be Palantir certified.
• 5+ 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.
• Hands-on with LLMs, prompt engineering, vector databases, data pipelines, RAG pipelines, and agent orchestration frameworks.
• Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns.
• Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes.
• Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.
• Excellent communication skills with C-suite presentations and cross-functional collaboration.

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 POCsthatdemonstratetangible 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 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 AI agents in production.
• Identify expansion opportunities by working with sales and customer success to find high-value use cases.
• Feed structured field insights back to Platform Engineering and Product on feature gaps and usability improvements.
• Build reusable IP through reference architectures, accelerators, frameworks, and best practices.

Skills

Python

Full-stack

LLMs

Prompt engineering

DevOps

Docker

Kubernetes

Vector databases

RAG pipelines

Multi-agent systems

SQL/NoSQL

Tools

Palantir Foundry

AIP

Ontology modeling

UniphoreBAIC

OpenStack

VMware

Job description

Rackspace Technology is seeking a Senior Forward Deployed Engineer to embed with strategic enterprise customers, architecting, building, and deploying AI solutions. You will own the full lifecycle from discovery through production, delivering high-impact, production-grade AI applications.

The role blends engineering depth with business acumen, customer empathy, and cross-functional collaboration, requiring strong communication with executives and hands-on leadership in complex deployments.