Rackspace Us Inc.

Rackspace Us Inc.

Solutions Architect, Forward Deployed

US-Work from Home · Senior

Sponsorship not specifiedDetected 30 days ago
PythonReactVue.jsNode.jsFull-Stack DevelopmentSQLNoSQLSnowflakeRedshiftDatabricksVector DatabasesAWSAzureCloud PlatformsDockerKubernetesCI/CDDevOpsPlatform EngineeringMachine LearningData AnalysisData EngineeringData ScienceLLMs

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Your primary craft is enterprise AI development platforms
  • Palantir Foundry and AIP, and AWS Bedrock/Agent Core, deployed on Rackspace Private Cloud, GPU infrastructure, or the customer's AWS cloud.
  • Your primary craft is enterprise AI development platforms; Palantir Foundry and AIP, and AWS Bedrock/Agent Core, deployed on Rackspace Private Cloud, GPU infrastructure, or the customer's AWS cloud.

Responsibilities

  • Drive top-of-funnel opportunity creation with sales, account teams, and partner alliances - opening executive conversations with working demonstrations of what is possible on our platforms.
  • Own the technical narrative across the sales cycle
  • Solution Design, Prototyping, and Demonstration
  • Build rapid proofs of concept and working prototypes that demonstrate tangible business value within days to weeks.
  • Design and demonstrate agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications against the customer's own data wherever possible.
  • Architect production-grade enterprise AI applications on partner platforms, Rackspace Private Cloud, and GPU infrastructure, integrating with enterprise systems including ERP, CRM, data warehouses, and data lakes.

Requirements

  • A bachelor's degree in computer science, data science, engineering, mathematics, or a related technical field.
  • At the manager's discretion, additional relevant experience may substitute for the degree requirement.
  • 10+ years in software engineering, data engineering, or AI/ML delivery, including at least 4 years in customer-facing, presales, or field engineering roles.
  • Ability to translate a customer's business and IT needs into a Statement of Work or Scope Addendum that delineates the need into actionable items.
  • Develop business cases and ROI models that connect AI ambition to the data foundation work required to support it, so the commercial case survives procurement scrutiny.

Nice to have

  • Palantir certification (Foundry Foundations, Data Engineer, or AIP) - strongly preferred, or the ability to certify within 90 days of hire.
  • Hands-on experience across multiple lakehouse platforms (Databricks, Snowflake, AWS-native Glue + Athena + Redshift) and multiple AI platforms (Amazon Bedrock, Azure OpenAI, Google Vertex AI).
  • Experience with AWS professional services or the AWS partner ecosystem across both AI and data domains.
  • Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).
  • Databricks Certified

Skills

  • Experience integrating across heterogeneous enterprise systems - ERP, CRM, data warehouses, data lakes, and streaming architectures.
  • Working knowledge of at least one hyperscaler's AI and data service portfolio, AWS preferred (Bedrock, SageMaker, Glue, Redshift).
  • Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.
  • Ability to travel approximately 25%.
  • Unrestricted right to work in the US without requiring sponsorship.
  • Docker, Kubernetes, CI/CD, cloud-native deployment patterns, and familiarity with GPU infrastructure.
  • AWS Certified Solution Architect - required or the ability to certify within 90 days of hire.
  • An advanced degree (master's or PhD) in a relevant field.
  • Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.
  • Experience with knowledge graphs, semantic modeling, and ontology-driven data management.
  • Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.

Compensation

  • Our compensation reflects the cost of labor across several geographic markets.

Benefits

  • Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.

Company info

  • About Rackspace Technology We are the multicloud solutions experts.
  • We have a proven record of advising customers based on their business challenges, designing solutions that
  • It suits someone who wants the autonomy and immediacy of an AI startup, backed by the scale, partner relationships, and delivery bench of a global technology company.

Visa & Work Authorization

  • This role is not sponsorship eligible.
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This listing is sourced directly from Rackspace Us Inc.'s careers page and normalized into a canonical job model.