Senior Enterprise AI Engineer — Remote with 25% Travel

Rackspace Technology, Inc.; United States; Remote; USD 166.000 - 243.000; Vollzeit

Zusammenfassung

Rackspace Technology seeks a Senior Forward Deployed Engineer to embed with enterprise clients, architect and deploy high-impact AI solutions, and own the full lifecycle from discovery through production optimization. You will bridge Rackspace AI capabilities with customer needs, driving rapid prototyping and on-site delivery.

The role requires deep full-stack skills, hands-on LLM work, and strong collaboration with sales and product teams.

Qualifikationen

• 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.
• Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, 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 - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.
• Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI platforms.
• Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.
• Experience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration.
• Familiarity with GPU infrastructure and private cloud platforms (OpenStack, VMware).
• Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.
• Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.
• Experience with knowledge graphs, semantic modeling, and ontology-driven data management.

Aufgaben

• 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 AI agents in production.
• Identify expansion opportunities by working with sales and customer success to uncover 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.
• Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.

Kenntnisse

Python

LLMs

Prompt engineering

Data pipelines

Agent orchestration

Tools

Docker

Kubernetes

CI/CD

OpenStack

VMware

NVIDIA GPUs

Jobbeschreibung

Rackspace Technology seeks a Senior Forward Deployed Engineer to embed with enterprise clients, architect and deploy high-impact AI solutions, and own the full lifecycle from discovery through production optimization. You will bridge Rackspace AI capabilities with customer needs, driving rapid prototyping and on-site delivery.

The role requires deep full-stack skills, hands-on LLM work, and strong collaboration with sales and product teams.