Rackspace Technology

Senior Forward Deployed Engineer – Private Cloud, Data & AI Enterprise Solutions

Rackspace Technology

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

CloudDockerERPGoJavaScriptKubernetesNode.jsNoSQLPythonReactSQLVue.js

About the role

  • As a Sr. Forward Deployed Engineer (Sr. FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions.
  • This role combines deep technical engineering with business acumen, customer empathy, and end-to-end solution ownership.
  • You will own the full solution lifecycle from problem discovery and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform engineering teams.
  • This role is ideal for someone who thrives at the intersection of engineering, strategy, and customer engagement and wants the autonomy and impact typically found at an AI startup, backed by the scale and resources of a global technology company.

Requirements

  • BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field.
  • 10+ 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, streaming architectures.
  • 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.
  • Willingness to travel up to 25% for on-site customer engagements.
Benefits
  • Embed with strategic enterprise customers to rapidly 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 (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.
  • Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI).
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonNode.jsGoReactVueSQLNoSQLAI/ML applicationsDevOpsdata engineering
Soft Skills
customer empathyend-to-end solution ownershipengineering strategycustomer engagementcommunication skillscross-functional collaborationproblem discoveryactionable engineering planspresentation skillsteam collaboration
Certifications
BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in Data ScienceMS in Data SciencePhD in Data ScienceBS in EngineeringMS in EngineeringPhD in EngineeringBS in Mathematics