Lead Solution Architect - AI & Java - Senior Vice President

Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred

Experience Level: 15+ years of progressive experience in software development, with a strong emphasis on solution architecture and leadership.

Enterprise Solution Architecture: Proven ability to design and build enterprise-level solutions leveraging Java/J2EE, Python, and advanced Generative AI (GenAI) technologies.

Technical Leadership & Hands-on Expertise: Drives technical strategy, provides hands-on guidance, and leads cross-functional teams in implementing complex AI-driven projects from inception to deployment.

AI/ML & GenAI Proficiency: Good experience with AI/ML methodologies, including practical application and architectural integration of Generative AI (GenAI) and Large Language Models (LLM) into business solutions.

Robust Software Engineering Principles: Expert knowledge of software design patterns, architectural principles (e.g., microservices, event-driven architectures), and adherence to SOLID principles, ensuring scalable, secure, and maintainable systems.

Data Strategy & Management: Strong expertise in data modeling, database design (SQL and NoSQL), data pipelines, and strategies for managing data within AI ecosystems.

Comprehensive SDLC & Best Practices: Mastery of the entire software development life cycle, including DevOps practices, cloud-native deployments, security considerations, and agile methodologies.

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