Senior Forward Deployed Engineer – Palantir Certified

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $165.8k - $243.1k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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Rackspace Technology

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

Consulting • Logistics • Artificial Intelligence

Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.

📋 Description

• 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

• 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

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