Join a global health optimization organization focused on leveraging technology to empower individuals towards healthier lives. This role is central to improving health outcomes by integrating care, pharmacy benefits, data, and essential resources.

Be part of an inclusive culture that fosters collaboration with talented peers, offers comprehensive benefits, and provides extensive career development opportunities. Contribute to advancing health optimization worldwide while growing personally and professionally.

"Caring. Connecting. Growing together."

Spearhead the architecture, design, and successful delivery of large-scale, AI-driven, and cloud-native solutions.

Champion the adoption of Generative AI, Agentic AI, AI/ML platforms, and automation across the enterprise.

Establish technical strategy, architecture standards, and best practices for building scalable, secure, and resilient systems. Architect and optimize solutions using Azure Public Cloud services and modern platform engineering approaches.

Lead cross-functional teams including software engineering, AI/ML, cloud infrastructure, and DevSecOps. Mentor engineers and guide technical direction through architectural reviews, innovation, and engineering excellence.

Drive operational excellence via automation, observability, reliability engineering, and continuous improvement. Collaborate with business and technology leaders to translate strategic goals into actionable technology solutions.

A Bachelor's degree in Computer Science or a related field is required.

Possess over 10 years of software engineering experience, with a proven track record in architecture and technical leadership.

Demonstrate deep expertise in Azure Public Cloud, cloud-native architectures, Kubernetes, and Infrastructure as Code. Skilled in designing and implementing enterprise-scale CI/CD, DevSecOps, and platform engineering solutions.

Exhibit solid proficiency in AI/ML, Generative AI, Agentic AI, LLMs, RAG frameworks, and AI platform development. Advanced command of Python, Java, Spring Boot, microservices, APIs, and distributed systems is essential.

Proven ability to lead complex technical initiatives and influence architectural decisions across multiple teams, coupled with strong communication, stakeholder management, problem-solving, and mentoring capabilities.