rackspace - Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions

• 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: multi-agent systems, tool use, and autonomous workflow orchestration. • Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware). • Foundry certifications from Palantir/Uniphore or AI/ML-related certifications. • 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. • BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field. • 10+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles. • Proven track record in 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 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 across heterogeneous enterprise systems - ERP, data warehouses, data lakes, 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. • Willingness to travel up to 25% for on-site customer engagements.