Description

Lead the architecture, design, and delivery of enterprise Generative AI and Agentic AI solutions across business and IT use cases.

This role is on-site.

Responsibilities

• Design multimodal and OCR-plus-LLM document extraction solutions with traceable results, confidence scoring, and manual-validation paths.
• Build and enhance RAG-based enterprise search, knowledge assistants, and repository Q&A solutions with preferred source links.
• Develop phased self-healing and incident-assistance PoCs, starting with solution identification and controlled human feedback.
• Design secure Python and Azure-based prototypes, evaluating agent frameworks, sandboxing options, APIs, and integration patterns.
• Guide PoCs toward production readiness through scalable architecture, API design, performance engineering, monitoring, testing, and documentation.

Required Skills

• 5+ years of experience in AI solution architecture or data science.
• Strong proficiency in Python for building secure prototypes and AI applications.
• Experience with Azure and GCP cloud platforms.
• Deep understanding of RAG (Retrieval-Augmented Generation) architectures and MCP.
• Ability to integrate AI solutions with enterprise platforms such as SAP, ServiceNow, and RPA systems.
• Hands-on experience with data lakes, SQL, and BigQuery.
• Skills in designing traceable, governed AI systems with guardrails and responsible AI practices.

Preferred Skills

• Experience mentoring engineers and establishing reusable AI patterns.
• Ability to conduct stakeholder workshops and shape AI adoption roadmaps.

Key Skills

Education

Bachelor's degree