Description

Key Responsibilities

• Design and implement multi-agent AI architectures, LLM applications, RAG pipelines, and orchestration frameworks.
• Develop production-grade AI solutions using Python, LangChain-based frameworks, and NVIDIA NeMo / AIQ technologies.
• Integrate AI agents with enterprise platforms, APIs, ERP, CRM, ITSM, and operational data sources.
• Lead solution architecture, technical design, integration testing, UAT, deployment, and hypercare.
• Establish AI observability, evaluation, security, human-in-the-loop workflows, and production monitoring.

Required Qualifications

• 12+ years of experience in software architecture, systems design, or enterprise platform engineering.
• Strong hands-on Python, SQL, JSON, and backend development experience.
• Expertise in Agentic AI, LLMs, RAG, multi-agent orchestration, embeddings, and vector databases.
• Experience with enterprise integrations, production deployment, and AI evaluation frameworks.
• Strong technical leadership, solution design, and stakeholder communication skills

Key Skills

Education

Any Gradute