CI&T

Data & AI Architect

CI&T

full-time

Posted on:

Location Type: Hybrid

Location: Austin • United States

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AzureCloud

About the role

  • 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!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architectureAI/ML infrastructuredata pipelinesdata modelingELTperformance tuningdata governancereal-time data streamingevent-driven architecturesMLOps
Soft Skills
leadershipcommunicationmentoringproblem-solvingcollaborationinnovationtechnical guidancestrategic thinkingrelationship managementknowledge sharing
Certifications
Snowflake Certification