Senior Forward Deployed Engineer - 64605

Turing is a leading research accelerator for frontier AI labs, seeking a Senior Forward Deployed Engineer to engage with enterprise customers across the United States. This role involves architecting, building, and deploying production-grade AI systems while serving as a technical bridge between AI capabilities and complex enterprise environments.

Responsibilities:

• Own the complete solution lifecycle—from discovery and rapid prototyping to production deployment and continuous optimization
• Serve as the technical bridge between advanced AI platform capabilities and complex enterprise environments, building scalable agentic workflows, RAG pipelines, knowledge graphs, and real-time decision systems integrated with ERP, CRM, and data platforms

Requirements:

• BS/MS/PhD in Computer Science, Engineering, Data Science, Mathematics, Physics, or related field
• 10+ years of experience in software engineering, data engineering, or AI/ML delivery
• 4+ years in customer-facing, consulting, or forward-deployed roles
• Proven track record building and deploying enterprise-scale AI/ML applications in production
• Deep proficiency in Python (required) plus Node.js or Go
• Strong full-stack capabilities (React or Vue) and experience with SQL/NoSQL databases
• Hands-on expertise with LLMs, prompt engineering, RAG pipelines (LlamaIndex, Haystack), vector databases (Pinecone, Weaviate, AstraDB), and agent orchestration frameworks (LangChain, LangGraph, CrewAI)
• Experience developing and fine-tuning LLM/SLM solutions
• Strong DevOps foundation: Docker, Kubernetes, CI/CD pipelines, GPU infrastructure, cloud-native deployment patterns
• Experience integrating AI solutions with heterogeneous enterprise systems (ERP, CRM, data warehouses, data lakes, streaming architectures)
• Ability to architect scalable ETL/ELT pipelines across structured and unstructured data sources
• Experience with observability, monitoring, telemetry, and governance for AI systems in production
• Strong executive communication skills; comfortable presenting to C-suite and facilitating technical workshops
• Ability to translate ambiguous business challenges into structured engineering roadmaps
• Willingness to travel up to 25%
• Experience with enterprise AI platforms such as Palantir Foundry, AIP, Uniphore BAIC, or similar
• Knowledge of ontology modeling, knowledge graphs, and semantic data management
• Experience building multi-agent AI systems with autonomous workflow orchestration
• Familiarity with SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks
• Experience with GPU infrastructure (e.g., NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware)
• AI/ML, Foundry, or cloud certifications
• Prior experience in technology consulting, AI startups, or enterprise solutions engineering
• Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing