Artificial Intelligence Architect

Job Requirements*

• 10+ years of experience
• . 5+ years in AI/Gen AI
• . Proven experience in architecting and deploying AI/Gen AI systems in production environments
• . Ability to design scalable, robust, and secure solutions with a focus on Gen AI, Large Language Models (LLMs), and other advanced AI technologies
• . Understanding of microservices, APIs and integration with existing systems
• . Expertise in designing Gen AI solutions for enterprise use cases
• . Proficiency in Python or R, along with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• . Experience with cloud-based AI services (e.g., AWS, Azure, GCP) for building scalable AI solutions
• . Solid understanding of software development lifecycle (SDLC) and DevOps practices.
• . Experience of LangChain, Phoenix, MLFlow, LangGraph, Google Agent Development Kit
• . Experience of designing AI solutions using Agentic AI approach, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Vector Databases, etc.
• . Comprehensive knowledge to assess and evaluate Agentic AI and Generative AI applications
• Excellent problem-solving skills and the ability to tackle complex business challenges using AI technologies

Key Responsibilities*

- Design and Implement AI Architecture

- Strategic Planning and Business Alignment

- Governance, Security, and Responsible AI

- Model Lifecycle Management and Optimization

- Collaboration and Integration >