Join Our Team as a Senior AI and Data Architect at Mavie Next: Make a Real Impact
At Mavie, we're on a mission to transform healthcare by providing holistic solutions that support individuals throughout their entire well-being journey—helping them stay healthy and get healthier. We're reimagining how people experience healthcare services, making them more connected, innovative, and accessible. To turn this vision into reality, we need exceptional talent—innovative thinkers, problem-solvers, and collaborative team players who are driven by a passion for creating modern healthcare solutions. As a fast-growing startup, we offer a dynamic, flexible work environment where you’ll have the freedom to bring your bold ideas to life, while learning and growing along the way.
We are seeking an experienced and forward-thinking Senior AI and Data Architect to lead the design and implementation of AI-driven solutions and advanced data systems. This role requires a combination of specialist technical expertise, strategic vision, and leadership to shape our AI and data capabilities, enabling innovation and business transformation.
YOUR CHALLENGE / TASKS
AI-Driven Innovation and Optimization:
Lead the design and deployment of AI-driven solutions and apps to optimise workflows and ways of working, uncover insights, and solve complex challenges.
Explore and implement cutting-edge AI technologies, such as predictive models and automation tools, to enhance efficiency and decision-making.
Data Architecture and Strategy:
Develop and implement scalable, compliant, and secure data architectures to support digital platforms and advanced analytics.
Design and maintain robust data models to enable seamless integration and real-time data processing across various platforms.
Data Governance and Compliance:
Establish data governance frameworks that ensure compliance with regulations like GDPR, HIPAA, and industry-specific standards.
Proactively address data security and privacy risks, implementing best practices for safeguarding critical information.
AI-Enabled Data Infrastructure:
Build and optimize high-performance data pipelines for AI/ML workflows, advanced analytics, and real-time applications.
Automate data workflows using orchestration tools (e.g., Apache Airflow, Prefect) and optimize systems for scalability and reliability.
Technical Leadership and Collaboration:
Provide mentorship and technical expertise to teams, fostering best practices in AI, data architecture, and engineering.
Collaborate with cross-functional teams to define and align data and AI strategies, and develop solutions and apps with our business objectives.
Performance Monitoring and Insights:
Leverage AI techniques to monitor and optimize data systems, identifying areas for improvement and innovation.
Stay ahead of industry trends by researching emerging technologies and integrating them into the organization’s data strategie