Architect, GenAI

Vaga não está no LinkedIn

🕒 Julho 27

🌽 Illinois, Virginia – Remoto

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💵 $170.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🏛️ Arquiteto

👻 Score fantasma 16%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Lovelytics

501 - 1000 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

💰 Series unknown em 2023-07

Consulting • Artificial Intelligence • Enterprise

A Lovelytics é uma consultoria de dados e IA que ajuda grandes empresas a transformar iniciativas de dados e IA em resultados de negócios mensuráveis. Focada 100% em dados e IA, a empresa oferece serviços que incluem estratégia e consultoria de dados, engenharia de dados, governança de dados e migrações, análises e visualização, IA generativa e ML (incluindo LLMOps e MLOps), e migração/modernização para a nuvem. A Lovelytics trabalha com clientes da Fortune 500 em setores como energia e utilidades, varejo/CPG e viagens, manufatura, saúde e ciências da vida, comunicações/mídia/entretenimento e jogos, e serviços financeiros, e faz parcerias com grandes fornecedores de plataformas como Databricks, AWS, Microsoft Azure, Google Cloud e Anthropic.

Descrição

• Deliver high-impact, client-facing engagements independently while overseeing the work of junior consultants/engineers. • Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. • Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. • Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. • Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. • Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. • Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. • Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics. • Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. • Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. • Work closely with senior leadership to design architecture and delivery plans tailored to client needs. • Formulate forward-looking data strategies aligned with client business objectives and industry best practices. • Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for GenAI engagements.

🎯 Requisitos

• B.S. in Computer Science or equivalent technical field. • 7+ years of experience in Machine Learning or NLP; at least 2 years working with or Generative AI systems, preferably on Databricks. • Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries. • Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). • Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks. • Experience designing and deploying applications with security, compliance, and scalability in mind. • Excellent communication skills and a strong ability to engage with technical and business stakeholders.

🏖️ Benefícios

• Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. • Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. • A culture of experimentation, innovation, and continuous improvement. • Opportunity to be a conference speaker, blogger, writer. • A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are valued.

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