Solutions Architect – Forward Deployed

• Drive top-of-funnel opportunity creation with sales, account teams, and partner alliances through working demonstrations
• Lead on-site discovery, diagnose business challenges, map customer data landscapes, and co-design AI solutions
• Own the technical narrative through art-of-the-possible sessions, architecture workshops, platform evaluations, security and governance deep dives, and executive briefings
• Translate customer business and IT needs into Statements of Work and actionable, estimable work packages
• Develop business cases and ROI models connecting AI ambitions to data foundation requirements
• Identify expansion opportunities in existing accounts with sales and customer success
• Document architecture, assumptions, dependencies, risks, and success criteria and hand off to delivery
• Build rapid proofs of concept and working prototypes
• Design and demonstrate agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications
• Architect production-grade enterprise AI applications on partner platforms, Rackspace Private Cloud, GPU infrastructure, and AWS
• Design ontologies and semantic models for enterprise data
• Build demonstration data pipelines using ETL/ELT patterns, vector databases, and knowledge base frameworks
• Build versioned, observable, auditable, and evaluated prototypes
• Maintain reusable demo assets, accelerators, and sandbox environments
• Build reusable intellectual property through reference architectures, accelerators, frameworks, and best practices
• Mentor Solution Architects and solutions engineers
• Provide field insights to Platform Engineering, Product, and partner alliance teams
• Contribute thought leadership through reference architectures, writing, conferences, and partner events
• Stay engaged as technical advisor through delivery mobilization

• Bachelor's degree in computer science, data science, engineering, mathematics, or a related technical field; additional relevant experience may substitute at the manager's discretion
• 10+ years in software engineering, data engineering, or AI/ML delivery, including at least 4 years in customer-facing, presales, or field engineering roles
• Presales or sales engineering track record, including owning the technical win, building and delivering demonstrations, and authoring Statements of Work
• Enterprise-scale Palantir Foundry experience, including data modeling, pipeline development, ontology design, and operational workflows
• Hands-on Palantir AIP expertise
• Production enterprise-scale AI/ML application delivery experience
• Python proficiency required, plus Node.js/Go, React/Vue, and SQL/No
  
  SQL databases
• Hands-on experience with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks
• Docker, Kubernetes, CI/CD, cloud-native deployment patterns, and familiarity with GPU infrastructure
• Experience integrating ERP, CRM, data warehouses, data lakes, and streaming architectures
• Working knowledge of at least one hyperscaler's AI and data service portfolio; AWS preferred
• Ability to translate business and IT needs into Statements of Work or Scope Addenda
• Excellent communication skills for C-suite presentations, technical workshops, and cross-functional collaboration
• Ability to travel approximately 25%
• Unrestricted right to work in the US without sponsorship
• AWS Certified Solution Architect required or ability to certify within 90 days of hire
• Palantir certification strongly preferred, or ability to certify within 90 days of hire
• Advanced degree, consulting, AI startup, knowledge graph, semantic modeling, agentic AI, lakehouse, AI platform, GPU/private cloud, industry certification, regulated-industry, domain, or published thought-leadership experience preferred

Demonstrates expertise in architecting and delivering enterprise-scale AI applications, with a strong focus on customer engagement and technical solution design. Proficient in translating complex business and IT needs into actionable work packages and effective demonstrations.

• Enterprise-Scale AI/ML Application Delivery
• Palantir Foundry Experience
• Python Proficiency
• AWS Certified Solution Architect
• Presales Engineering Experience

• AI Application Architecture
• Data Pipeline Development
• Ontology Design
• Prompt Engineering
• Vector Databases
• RAG Pipelines
• SQL/No
  
  SQL Databases
• Docker
• Kubernetes
• Cloud-Native Deployment Patterns

• Excellent Communication Skills
• Cross-Functional Collaboration

• AWS Certified Solution Architect
• Palantir Certification

• Data Science
• Software Engineering
• Customer-Facing Roles
• Technical Workshops
• Thought Leadership

• Palantir AIP
• AWS
• GPU Infrastructure
• ETL/ELT Patterns
• Application Dashboards