Senior AI Architecture
Há 20 horas
Senior AI Architect – 100% Remote
Work Location - Sao Paulo, Brazil
Employment Type: 12 months plus contract
Start date – DOE
Job Description
We are seeking a visionary and hands on Senior AI Architect to lead the technical design and strategy of our Artificial Intelligence and Machine Learning initiatives
In this role you will bridge the gap between Data Science Software Engineering and DevOps You will not just build models you will design the scalable infrastructure MLOps pipelines and architectural standards that allow our AI solutions to thrive in production You will be the technical authority on AI guiding the team through the evolution from traditional ML to Generative AI and Large Language Models LLMs
Key Responsibilities
Strategy Architecture
Define and own the end-to-end technical architecture for AIML solutions ensuring scalability reliability and security Select appropriate technology stacks frameworks cloud services databases for model development training and serving
Design and implement robust MLOps pipelines CICD for ML to automate retraining testing and deployment
Leadership Collaboration
Mentor and provide technical guidance to Senior Data Scientists and ML Engineers
Collaborate with Product Managers and Clevel stakeholders to translate business requirements into technical AI specifications
Lead code reviews and architectural review boards to ensure high code quality and best practices
Innovation Development
Stay ahead of the curve on emerging trends specifically regarding Generative AI LLMs RAG Computer Vision or Predictive Analytics
Oversee the integration of AI models into existing production applications REST APIs Microservices Edge devices
Establish data governance privacy GDPRCCPA and ethical AI standards within the architecture
Required Qualifications
Experience 7 years in software engineering or data science with at least 3 years specifically in an AIML Architecture or Lead role
Education Bachelors or Master’s degree in Computer Science Mathematics AI or a related field
Core Tech Stack Deep proficiency in Python and familiarity with C or Java
ML Frameworks Expert knowledge of TensorFlow PyTorch Keras or Scikitlearn
Cloud Platforms Extensive experience with AWS Sage Maker Azure AI Studio or Google Cloud Vertex AI
MLOps DevOps Proven track record building pipelines using Kubernetes Docker Kubeflow MLflow Airflow or Jenkins
Databases Experience with Vector Databases Pinecone Milvus Weaviate and Big Data tools Spark Kafka Databricks
Preferred Qualifications Nice to Have
PhD in Artificial Intelligence Deep Learning or related field
Experience designing and finetuning Large Language Models LLMs and implementing RAG Retrieval Augmented Generation architectures
Experience with Edge AI or deploying models on resource constrained devices
Certifications in Cloud Architecture AWS Certified Solutions Architect Google Professional Cloud Architect.
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