AI Solutions Architect

🕒 Julho 24

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Cuesta Partners

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Cuesta Partners é uma empresa de consultoria em gestão e tecnologia que auxilia organizações a converter estratégias em resultados mensuráveis, especializando-se em transformações impulsionadas por IA, dados e tecnologia. A empresa oferece serviços em fusões e aquisições (diligência tecnológica e integração), estratégia de tecnologia, estratégia e execução de dados, estratégia e implementação de IA, além de entrega e transformação para acelerar o tempo de retorno sobre investimento para clientes empresariais. A Cuesta trabalha com empresas de private equity, saúde, farmacêuticas, distribuidores e outras organizações de médio porte e grandes empresas para desbloquear valor por meio de plataformas de dados preparadas para IA, análises e mudanças operacionais.

Descrição

• Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. • Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. • Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs. • Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. • Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. • Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. • Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. • Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities.

🎯 Requisitos

• 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production. • Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity. • Hands-on experience with at least two of the following: • - Deep-learning frameworks (TensorFlow, PyTorch, JAX). • - NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns). • - Computer-vision pipelines (OpenCV, TorchVision). • - AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow). • Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi). • Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon. • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • Consulting or professional-services experience.

🏖️ Benefícios

• Offers Bonus • In addition to the base salary, there is typically an annual bonus of between 15-25% of salary.