2 months ago
Remote, United StatesStaff+
Base Salary
$153k - $269k/yr
Responsibilities
- Create opportunities with sales, account teams, and partners through working demonstrations and executive engagement.
- Lead customer discovery, business and technical workshops, platform evaluations, architecture sessions, and governance discussions.
- Translate business and IT needs into Statements of Work, scopes, actionable work packages, business cases, and ROI models.
- Build rapid proofs of concept, agentic AI workflows, RAG pipelines, knowledge graphs, data pipelines, and enterprise AI applications.
- Design and deploy solutions using Palantir platforms, AWS services, Rackspace Private Cloud, GPU infrastructure, and customer enterprise systems.
- Develop versioned, observable, auditable, and evaluated prototypes plus reusable demonstration assets and accelerators.
- Document architectures, assumptions, dependencies, risks, and success criteria and remain engaged through delivery mobilization.
- Mentor solution architects and solutions engineers and provide field feedback to platform, product, and partner teams.
- Contribute reference architectures, technical best practices, published writing, and conference or partner-event content.
Requirements
- Bachelor's degree in computer science, data science, engineering, mathematics, or a related technical field; relevant additional experience may substitute at the manager's discretion.
- 10+ years of experience in software engineering, data engineering, or AI/ML delivery, including at least four years in customer-facing, presales, or field engineering roles.
- Demonstrated presales or sales engineering experience owning technical wins, delivering demonstrations, and authoring Statements of Work.
- Proven enterprise-scale experience with Palantir Foundry and hands-on experience with Palantir AIP.
- Production experience building and deploying enterprise-scale AI/ML applications.
- Deep full-stack proficiency with Python, plus Node.js or Go, React or Vue, and SQL or NoSQL databases.
- Hands-on experience with LLMs, prompt engineering, vector databases, data pipelines, dashboards, RAG, and agent orchestration frameworks.
- Strong Docker, Kubernetes, CI/CD, cloud-native deployment, and GPU infrastructure experience.
- Experience integrating ERP, CRM, data warehouses, data lakes, and streaming architectures.
- Working knowledge of a hyperscaler's AI and data services, with AWS preferred.
- Ability to produce actionable Statements of Work or Scope Addenda and present to C-suite and technical audiences.
- AWS Certified Solutions Architect certification, or ability to obtain it within 90 days of hire.
- Ability to travel approximately 25%; the posting also describes travel of up to 50% based on business requirements.
- Preferred qualifications include Palantir certification, an advanced degree, consulting or startup experience, knowledge graphs and semantic modeling, model fine-tuning and distillation, agentic AI, multiple lakehouse and AI platforms, GPU infrastructure, private cloud, industry certifications, regulated-industry experience, and published enterprise AI thought leadership.
Benefits
- San Antonio-area employees work hybrid with two days in the office; candidates outside the area may work 100% from home within the specified country.
- Travel is required for customer engagements, workshops, and partner or hyperscaler events.
- Compensation may include annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan.
- Rackspace provides benefits and equal employment opportunity, with accommodations available for disabilities or special needs.
Tech Stack
Categories
Forward DeployedSolutions Engineering
About Rackspace
Rackspace provides managed cloud and IT services for enterprises, including multicloud operations, cloud migration, private cloud, managed security, and application/platform management across AWS, Azure, Google Cloud, and VMware. It operates a services-led business model with consulting and ongoing management for regulated and mission‑critical workloads, including healthcare. Founded in 1998 and headquartered in San Antonio, Texas, Rackspace is majority‑owned by Apollo Global Management.
