Senior Forward Deployed Engineer – Palantir Certified

🕒 vor 21 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $165.830 - $243.141 / Jahr

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

👻 Geisterscore 0%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 22 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 30 Tagen besetzt.

Jetzt Bewerben

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Rackspace Technology

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 1998

💼 Beratung

📦 Logistik

🤖 Künstliche Intelligenz

Consulting • Logistics • Artificial Intelligence

Rackspace Technology ist ein globaler Anbieter von Managed-Cloud-Diensten, der Multi-Cloud-, Hybrid- und Private-Cloud-Umgebungen für Unternehmen entwirft, baut, migriert und betreibt. Das Unternehmen bietet Beratungs-, professionelle und Managed Services in den Bereichen Cloud-Infrastruktur, Anwendungsmodernisierung, Datenplattformen, KI/ML (Foundry of AI/FAIR) und Cybersicherheit sowie Managed Hosting, Colocation und Plattform-Integrationen mit großen Hyperscalern. Rackspace bedient regulierte und geschäftskritische Branchen mit Fokus auf Sicherheit, Compliance, Kostenoptimierung und betrieblichen Zuverlässigkeit.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• Annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP) • Benefits package • Equal employment opportunity • Disability or special-needs accommodation

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