AI Solution Architect ( Remote)

Introduction:

The AI Solution Architect will lead the end-to-end architecture, design, and implementation of AI and AI-native solutions for Advantive. This role will collaborate with various teams to translate business requirements into scalable, secure, and robust AI architectures.

Responsibilities:

• Lead the architecture, design, and technical roadmap for AI and AI-native solutions aligned to Advantive''s business strategy.
• Translate business and functional requirements into scalable AI solution architectures.
• Evaluate, select, and integrate latest AI models and LLMs into enterprise applications and workflows.
• Define reference architectures, patterns, standards, and reusable components for AI solution delivery.
• Collaborate with various teams to ensure high-quality, production-grade AI deployments.
• Establish non-functional requirements and ensure AI solutions meet enterprise architecture and compliance guidelines.
• Provide architectural leadership, mentoring, and guidance to project teams.

Requirements:

• Strong experience in AI Solution Architecture.
• Proven expertise in architectural design involving AI solutions.
• Hands-on knowledge of designing AI-based solutions using various approaches.
• In-depth understanding of latest AI models and LLMs.
• Experience with AI/ML platforms and services.
• Solid understanding of data architecture concepts.
• Strong background in application integration patterns.
• Ability to create high-quality architectural artifacts and communicate them effectively.
• Strong stakeholder management, communication, and leadership skills.

Preferred Skills:

• Experience with AI governance, model risk management, and responsible AI practices.
• Familiarity with vector databases, semantic search, RAG, and knowledge-graph-based solutions.
• Exposure to MLOps tools and frameworks for CI/CD of ML models.
• Experience in designing cloud-native architectures using containers and orchestration.
• Knowledge of enterprise integration with ERP/CRM/line-of-business applications.
• Prior experience in leading AI architecture for product-based organizations.
• Experience working in agile delivery environments.

Educational Qualification:

Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related discipline from a recognized institution.