Forward Deployment Engineer, Generative AI

🕒 vor 27 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

⛑ DevOps- und Site Reliability Engineer (SRE)

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Tiger Analytics

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2011

🤖 Künstliche Intelligenz

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics ist ein führendes Beratungsunternehmen für KI und Analytik, das sich auf den Einsatz von Data Science und Machine Learning spezialisiert hat, um strategische Geschäftseinblicke in verschiedenen Branchen zu ermöglichen. Sie bieten Dienstleistungen in den Bereichen Datenstrategie, KI-Engineering und Business Intelligence an, um datengetriebene Entscheidungsfindung und digitale Transformation für ihre Kunden zu ermöglichen. Tiger Analytics arbeitet mit führenden Technologiepartnern wie Microsoft, Google Cloud und AWS zusammen, um hochmoderne Lösungen zu liefern. Sie bedienen eine vielfältige Palette von Sektoren, darunter Konsumgüter, Gesundheitswesen und Finanzen, und helfen Unternehmen, Erkenntnisse zu operationalisieren und sich mit KI- und Machine-Learning-Technologien zu differenzieren.

Beschreibung

• The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. • This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). • You will bridge the gap between AI research and production-grade cloud infrastructure. • You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

🎯 Anforderungen

• AI Solution Deployment: Deploy, fine-tune, and optimize large-scale Gen AI models and LLM orchestration frameworks within customer cloud environments. • Infrastructure Engineering: Architect scalable infrastructure for AI workloads utilizing GPU/TPU orchestration, high-performance storage, and low-latency networking. • Data & Retrieval Pipelines: Design and implement high-throughput data ingestion pipelines and Vector Database architectures for Retrieval-Augmented Generation (RAG). • Multi-Cloud Management: Build agnostic, resilient cloud deployments across AWS, Azure, and GCP using Infrastructure as Code (IaC). • Technical Advocacy: Act as the primary technical consultant, guiding enterprise clients through AI safety, prompt engineering patterns, and inference cost optimization. • Product Collaboration: Feed edge-case deployment insights back to core AI research and platform engineering teams to improve product robustness. • Technical Requirements- AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face). • Vector Databases: Production experience setting up and querying vector stores (Milvus, Pinecone, Qdrant, Chroma, or pgvector). • Model Operations (LLMOps): Proficiency in model serving frameworks (vLLM, TGI, Triton Inference Server) and evaluation tools. • Cloud & Containers: Advanced knowledge of cloud AI primitives (AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI) and Kubernetes (K8s) for GPU workloads. • IaC & Automation: Mastery of Terraform or OpenTofu to provision complex multi-cloud compute environments. • Programming: Strong coding skills in Python (preferred) or Go, with an emphasis on writing clean, concurrent code. • Soft Skills- AI Consultation: Ability to manage customer expectations around LLM non-determinism, hallucinations, and performance trade-offs. • Rapid Adaptability: Passion for keeping pace with the weekly advancements in the Generative AI landscape. • Critical Debugging: Exceptional skill in isolating errors across complex software layers, from GPU drivers up to prompt engineering logic. • Mobility: Willingness to travel to client sites to lead high-stakes, on-site deployment sprints.

🏖️ Vorteile

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.