Rackspace Technology
Realize the full value of the cloud.
Senior Forward Deployed Engineer – Private Cloud, Data & AI Enterprise Solutions
Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 5,001-10,000Since 1998H1B No SponsorCompany SiteLinkedIn
Location
United States
Posted
25 days ago
Salary
Not specified
Bachelor Degree10 yrs expEnglishCloudDockerERPJava ScriptKubernetesNode.jsNo SQLPythonReactSQLVue.jsGo
Job Description
• 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.
Job 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.
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Technical Talent Partner – Insurtech & AI (Remote)
ZestyAIProperty Risk Analytics Powered by Artificial Intelligence
Artificial Intelligence25 days ago
Full TimeRemoteTeam 51-200H1B No Sponsor
Full-cycle technical recruiter embedded with hiring teams to source Insurtech, AI, engineering, DSML, product, and go-to-market talent. Build pipelines, talent maps, leverage AI/automation, translate hiring needs into candidate slates, provide compensation market intelligence, and act as a consultative partner to hiring leaders.
Agentic AiAi ToolsData ScienceGenerative AiMachine LearningRecruiting Automation
Illinois
Artificial Intelligence25 days ago
Full TimeRemoteTeam 51-200H1B No Sponsor
Act as a product expert and customer advocate: deeply learn ReadMe, engage users live (office hours, support calls, chat), nurture the Slack community, create clear technical documentation and educational content, and translate user feedback into product insights for engineering and product teams.
ReadmeSlackZoomAPI
United States
Lead AI Code Generation Evangelist
testRigortestRigor is the #1 generative AI-based codeless test automation tool for manual testers and product managers.
Artificial Intelligence25 days ago
Full TimeRemoteTeam 51-200Since 2015H1B No Sponsor
Lead AI Code Generation Evangelist creating technical content at testRigor
United States
Vibe-Coding Talent, AI-Native Product Builder
Markus Coenen - Wirkung im Yes-ModusTeile dein Wissen und realisiere dein ganzen Potential
Artificial Intelligence25 days ago
ContractRemoteTeam 1-10Since 2015H1B No Sponsor
Building AI-driven digital coaching products as a Product Builder.
JavaScriptNext.jsPythonReactTypeScript
United States
