Rackspace

1 day ago

Sr Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Embed with strategic enterprise customers to architect, build, and deploy high-impact AI solutions end to end. Drive solution design and delivery for agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decisioning applications, from rapid prototyping/POCs through production optimization. Work with Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating enterprise systems and building scalable data pipelines with strong full-stack and DevOps execution.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Diagnose critical business challenges and co-design AI solutions with customers on-site.
•Lead end-to-end solution design and delivery for 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.
•Own the full project lifecycle including scoping, architecture, build, deployment, and post-launch optimization.
•Architect and deploy production-grade Enterprise AI applications, building data pipelines and integrating with enterprise systems (ERP/CRM/data platforms).

Travel: Medium travel

Pay and Benefits

Salary: USD 165,830 - 243,141.8 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in computer science, engineering, or related technical discipline (additional experience may substitute).
•Must be Palantir certified.
•10+ years in software engineering, data engineering, or AI/ML delivery, including at least 4+ years in customer-facing or field roles.
•Proven track record building and deploying AI/ML applications in production at enterprise scale.
•Deep full-stack proficiency with Python plus experience with Node.js/Go, React/Vue, and SQL/NoSQL; hands-on with LLM/SLM, RAG, and agent orchestration frameworks.

Experience:10+ yearsAI/MLEnterprise softwareCustomer-facingField rolesConsultingAI startups

Education:Bachelor's

Skills:CommunicationCustomer empathyCross-functional collaborationKnowledge transferTranslating needs

Certifications:Palantir certified

Tech Stack:PythonNode.jsGoReactVueSQLNoSQLDockerKubernetesCI/CDPineconeWeaviateAstraDBETL/ELTVector databasesLlamaIndexHaystackLangChainLangGraphCrewAI

Company Brief

Rackspace

Provides managed cloud services, multi-cloud solutions, and managed hosting across public and private cloud platforms, helping enterprises design, operate, and optimize cloud infrastructure and applications.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Antonio, United States

Founded: 1998

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Rackspace

1 day ago

Sr Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Diagnose critical business challenges and co-design AI solutions with customers on-site.
•Lead end-to-end solution design and delivery for 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.
•Own the full project lifecycle including scoping, architecture, build, deployment, and post-launch optimization.
•Architect and deploy production-grade Enterprise AI applications, building data pipelines and integrating with enterprise systems (ERP/CRM/data platforms).

Travel: Medium travel

Pay and Benefits

Salary: USD 165,830 - 243,141.8 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in computer science, engineering, or related technical discipline (additional experience may substitute).
•Must be Palantir certified.
•10+ years in software engineering, data engineering, or AI/ML delivery, including at least 4+ years in customer-facing or field roles.
•Proven track record building and deploying AI/ML applications in production at enterprise scale.
•Deep full-stack proficiency with Python plus experience with Node.js/Go, React/Vue, and SQL/NoSQL; hands-on with LLM/SLM, RAG, and agent orchestration frameworks.

Experience:10+ yearsAI/MLEnterprise softwareCustomer-facingField rolesConsultingAI startups

Education:Bachelor's

Skills:CommunicationCustomer empathyCross-functional collaborationKnowledge transferTranslating needs

Certifications:Palantir certified

Tech Stack:PythonNode.jsGoReactVueSQLNoSQLDockerKubernetesCI/CDPineconeWeaviateAstraDBETL/ELTVector databasesLlamaIndexHaystackLangChainLangGraphCrewAI

Company Brief

Rackspace

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Antonio, United States

Founded: 1998

Website LinkedIn