CI&T - [Job - 29399] AI Solutions Architect, Brazil
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Requirements
• Experience in software architecture, with at least 3+ years specifically focused on deploying AI/ML solutions at scale. • AI Expertise: Deep proficiency in Generative AI, Vector Databases (e.g., Pinecone, Milvus, Weaviate), and framework orchestration (e.g., LangChain, LlamaIndex). • Core Languages: Expert-level coding skills in Python and familiarity with modern backend stacks (C#/.NET, Go, or Java). • Data Engineering: Experience with large-scale data processing and storage (Spark, Snowflake, or Databricks). • Infrastructure: Mastery of cloud-native AI services in AWS (Sagemaker, Bedrock), Azure (Azure OpenAI), or GCP (Vertex AI). • Language: Advanced English proficiency (fluent verbal and written communication). • Optimization: Knowledge of model quantization, pruning, and inference optimization (e.g., vLLM, TensorRT). • DevOps/MLOps: Experience with Kubernetes (K8s), Docker, and MLflow for model lifecycle management. • Advanced Research: Strong understanding of Transformer architectures, neural network design, and the latest peer-reviewed AI research. • Security: Experience with AI-specific security threats (e.g., prompt injection, data poisoning). • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
Responsibilities
• System Architecture: Design and oversee the implementation of end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints. • AI Strategy: Lead the evaluation and selection of AI technologies (OpenAI, Anthropic, Hugging Face, LangChain) to optimize for performance, cost, and latency. • LLM Integration: Architect robust frameworks for RAG (Retrieval-Augmented Generation), agentic workflows, and fine-tuning strategies to enhance model accuracy and relevance. • Engineering Standards: Establish best practices for MLOps and LLMOps, ensuring seamless CI/CD for AI models and maintaining rigorous version control. • Collaboration & Leadership: Partner with Data Scientists, Backend Engineers, and Product Leads to translate business goals into high-impact AI features. • Governance: Implement security protocols and ethical guardrails for AI usage, focusing on data privacy, bias mitigation, and cost management.
Benefits
• Health and dental insurance • Meal and food allowance • Childcare assistance • Extended paternity leave • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; • Profit Sharing and Results Participation (PLR); • Life insurance • Continuous learning platform (CI&T University); • Free online platform dedicated to physical, mental, and overall well-being • Pregnancy and responsible parenting course • Partnerships with online learning platforms • Language learning platform • More details about our benefits here: https://ciandt.com/br/pt-br/carreiras • At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. • We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
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