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Senior Forward Deployed Engineer – Palantir Certified
Rackspace TechnologyCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying enterprise-scale AI solutions, with a strong focus on full-stack development, DevOps practices, and customer engagement. Proficient in integrating AI applications with existing enterprise systems and optimizing workflows for maximum business impact.
Highest-signal resume keywords
Palantir CertificationAI/ML Application DeploymentFull-Stack Development: Python, Node.js/Go, React/VueDevOps Skills: Docker, Kubernetes, CI/CDCustomer-Facing Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Embed directly with strategic enterprise customers to architect, build, and deploy high-impact AI solutions
- 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 proofs of concept demonstrating tangible business value within days to weeks
- Own 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
- Integrate AI applications with ERP, CRM, data warehouses, and data lakes
- Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases, and knowledge base frameworks
- Develop and fine-tune LLM/SLM solutions; implement RAG architectures and orchestrate multi-agent workflows
- Deliver full-stack and DevOps solutions using Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management
- Champion observability, monitoring, and telemetry for trustworthy, auditable, and versioned AI agents in production
- Identify expansion opportunities with sales and customer success across new business domains
- Feed field insights to Platform Engineering and Product regarding feature gaps, emerging needs, and usability improvements
- Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices
- Mentor engineers and customer teams through knowledge transfer and internal AI competency building
Requirements
What you’ll need- Must be Palantir certified
- 6+ years in software engineering, data engineering, or AI/ML delivery
- 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: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases
- Hands-on experience 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 ERP, data warehouses, data lakes, and 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
- Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms
- Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks
- Experience building agentic AI solutions, including multi-agent systems, tool use, and autonomous workflow orchestration
- Familiarity with GPU infrastructure, including NVIDIA H100/B200 and InfiniBand
- Familiarity with private cloud platforms, including OpenStack and VMware
- Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles
- Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing
- Experience with knowledge graphs, semantic modeling, and ontology-driven data management
Benefits
Comp & perks- Annual bonus or incentives
- Equity awards
- Employee Stock Purchase Plan (ESPP)
- Benefits package
- Equal employment opportunity
- Disability or special-needs accommodation
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solution ArchitectureData Pipeline DevelopmentLLM/SLM Fine-TuningRAG Pipeline ImplementationKnowledge GraphsETL/ELT ProcessesAgent Orchestration FrameworksSQL/NoSQL DatabasesApplication Dashboard DevelopmentMulti-Agent Systems
Soft Skills
Excellent Communication SkillsCross-Functional CollaborationCustomer Needs TranslationMentoring and Knowledge Transfer
Tools & Technologies
Palantir FoundryAIPDockerKubernetesGPU InfrastructureOpenStackVMwareNVIDIA H100/B200CI/CD ToolsVector Databases
Certifications & Qualifications
Palantir Certified
Industry Keywords
Financial ServicesHealthcareSupply ChainDefenseEnergyManufacturingTechnology ConsultingAI StartupsForward Deployed EngineeringSolutions Engineering