Senior Solution Architect

IQVIA AG seeks a Senior Solution Architect to lead enterprise architecture, drive AI innovation, and design scalable cloud-native solutions aligned with strategic business goals.

The company is looking for a senior professional to shape and evolve its enterprise architecture, ensuring it supports current products and future business objectives. This role involves partnering with stakeholders to define secure, scalable solutions and providing architectural guidance across applications, cloud platforms, and data ecosystems to foster innovation and operational excellence.

Responsibilities

• Develop and implement enterprise architecture standards, governance frameworks, and technology roadmaps.
• Translate product strategies into scalable, secure, and maintainable technology solutions by collaborating with business and technology leaders.
• Support the development of AI-powered solutions, including Generative AI, LLMs, RAG, vectorization, embeddings, and prompt engineering.
• Promote the use of AI-assisted software development practices to enhance engineering productivity and solution quality.
• Conduct research, proof-of-concept activities, and technology evaluations for cloud, AI, analytics, and emerging technologies.
• Participate in strategic planning, architecture governance, and technology modernization efforts.
• Provide architectural leadership across application, platform, integration, data, and infrastructure domains.
• Engage in cross-functional product development initiatives and offer architecture guidance throughout the software development lifecycle.
• Evaluate emerging technologies to identify opportunities for innovation, automation, modernization, and business value creation.
• Design and guide the implementation of cloud-native, distributed, and scalable technology solutions.
• Support enterprise data architecture initiatives, including analytics, reporting, data warehousing, and modern data engineering.
• Provide guidance on scalability, security, observability, resiliency, performance optimization, and operational excellence.
• Support system design, business information modeling, solution architecture, integration architecture, and software architecture initiatives.
• Ensure alignment with security, compliance, risk management, and enterprise architecture standards.
• Mentor architects, engineers, and business analysts on architecture principles, technology strategy, AI adoption, and engineering best practices.
• Identify modernization opportunities, technical debt, architecture bottlenecks, and process improvements to drive continuous improvement.

Requirements

• Bachelor's degree in computer science, Engineering, Information Technology, or a related field, or equivalent experience.
• 5+ years of software development, solution architecture, enterprise architecture, or related technical leadership experience.
• Experience in enterprise architecture, solution architecture, technical leadership, stakeholder management, and technology strategy.
• Strong understanding of enterprise architecture principles, architecture governance, strategic planning, and technology roadmaps.
• Experience designing cloud-native, scalable, distributed, and resilient solutions.
• Experience with modern data platforms, analytics solutions, and enterprise integration patterns.
• Knowledge of AI/ML technologies, including Generative AI, LLMs, RAG architectures, vectorization, embeddings, and prompt engineering.
• Experience driving AI-assisted software development practices and engineering productivity improvements.
• Strong understanding of system design, software architecture, business information modeling, and enterprise solution design.
• Experience modernizing applications and platforms through scalability improvements, automation, cloud adoption, and technical debt reduction.
• Understanding of observability, resiliency engineering, performance optimization, capacity planning, and operational excellence practices.
• Ability to align architecture decisions and technology investments with business objectives and product strategy.
• Broad knowledge of modern software engineering practices, DevOps, CI/CD, security principles, and industry best practices.
• Excellent communication, presentation, mentoring, collaboration, and stakeholder management skills.