Hybrid Data & AI Architect

at CI&T

• Job title: Data & AI Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud
• Location requirements: Hybrid, Austin, United States

About the role

• Senior Data Architect with AI expertise leading data systems and solutions at CI&T. Collaborating across teams to ensure efficient data architecture for AI and business strategies.

Responsibilities

• Define and communicate the long-term data architecture vision, aligned with the business strategy and AI innovation roadmap.
• Lead the evaluation and selection of technologies, frameworks, and standards for implementing the data architecture, including AI/ML infrastructure.
• Establish and promote best practices for data management, governance, and quality.
• Actively participate in defining and executing the organization's data and AI strategy.
• Design and architect the Intelligence Layer for AI-driven assessment and scenario generation capabilities.
• Ensure AI solutions are auditable, transparent, and incorporate bias mitigation strategies.
• Define data pipelines and infrastructure to support ML model training, deployment, and monitoring.
• Collaborate with data scientists and ML engineers to optimize data flows for AI workloads.
• Collaborate with leadership teams and stakeholders to ensure the data architecture meets business needs and supports clinical workflows.
• Identify and anticipate complex technical challenges, proposing innovative and effective solutions.
• Provide advanced technical guidance and support to the data development, architecture, and AI teams.
• Ensure compliance with data security regulations and healthcare industry standards (HIPAA, GDPR, etc.).
• Design data architecture that supports hybrid environments with offline-first capabilities.
• Define integration patterns for the API gateway connecting LMS providers and healthcare hardware.
• Ensure data synchronization strategies for low-connectivity clinical environments.
• Promote a culture of innovation and technical excellence in the data and AI areas.
• Mentor and empower other team members by sharing knowledge and experience.
• Represent the data architecture in internal and external technical and strategic forums.
• Develop and maintain strategic relationships with suppliers and technology partners.

Requirements

• Cloud Architecture: Experience with cloud platforms.
• Data Warehousing: Experience with Snowflake or similar modern data warehousing solutions.
• Data Engineering: Experience with DBT, data modeling, ELT, and performance tuning.
• AI/ML Infrastructure: Understanding of data architecture requirements for AI/ML workloads, including feature stores, model registries, and ML pipelines.
• Healthcare Context: Ability to design data systems that comply with healthcare regulations and support clinical workflows.
• Snowflake Certification or equivalent cloud data platform certifications (Nice to Have).
• Experience with data governance, security, and privacy frameworks (Nice to Have).
• Experience with AI/ML platforms (Azure ML, Databricks, SageMaker, or similar) (Nice to Have).
• Knowledge of MLOps practices and tools (Nice to Have).
• Experience with vector databases and LLM integration patterns (Nice to Have).
• Understanding of bias detection and AI ethics principles (Nice to Have).
• Experience with real-time data streaming and event-driven architectures (Nice to Have).
• Knowledge of accessibility standards (WCAG 2.1 AA) and their data implications (Nice to Have).
• Experience in healthcare or clinical systems (Nice to Have).

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);
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• And many more!