Validic, Inc. is a digital health and remote care company devoted to our mission of improving the quality of human life by making personal data actionable. We are seeking a visionary and technically exceptional Principal Engineer, Data and Intelligence to lead the strategic integration of Artificial Intelligence (AI), including Generative AI (GenAI), across our products and internal developer platforms. This role is ideal for a deeply experienced engineering leader who thrives on systems-level thinking, hands-on innovation, and cross-functional collaboration.
As a senior member of the Technology leadership team, this individual will partner closely with engineering, product, and data teams to drive the adoption of intelligent features, scalable AI systems, and data-driven capabilities. This role also holds key responsibility for unlocking the value of the Company’s vast and growing data assets—exploring how they can be harnessed responsibly for advanced analytics, machine learning, and AI-driven insights.
This role will play a key part in client-facing conversations where AI and data capabilities are strategic differentiators, partnering with customer-facing teams to ensure alignment between our technical vision and client needs. This individual will also participate in senior leadership meetings at Validic, helping shape company-wide strategy through the lens of intelligence and innovation.

• Serve as the technical authority and thought leader on AI and GenAI strategy, architecture, and implementation across the Company
• Drive the strategic use of internal data assets to enable intelligent capabilities, predictive systems, and advanced analytics across products and platforms
• Partner with product and engineering teams to design and deploy intelligent, user-facing features that improve experience, performance, and engagement
• Lead technical discovery, prototyping, and evaluation of emerging AI technologies, ensuring alignment with business objectives and ethical principles
• Develop shared tools, models, and frameworks that enable scalable and responsible AI adoption across the engineering organization
• Define and promote best practices for AI/ML system architecture, data governance, model observability, and performance evaluation
• Collaborate with data engineering and analytics teams to shape infrastructure and pipelines that support robust experimentation and model development
• Collaborate and partner with sales and client success where AI and data capabilities are strategic differentiators and ensure alignment between the Company’s technical vision and client needs
• Act as a multiplier—mentoring engineers, fostering a culture of innovation, and raising the bar for technical excellence company-wide
• Represent the company externally in key client meetings, technical partnerships, conferences, and forums where AI and data leadership are critical
• Participate in senior leadership meetings and help shape company-wide strategy through the lens of intelligence and innovation