Job Description AI ArchitectPosition: AI Architect
Experience: 12+ Years
Employment Type: Full time / Contract-to-Hire (C2H)
Work Mode: Hybrid (3 Days Work from Office + 2 Days Remote)
Interview Process: 2 Technical Rounds + 1 Mandatory Face-to-Face Round
Education: B.E./B.Tech, M.E./M.Tech, or MCAAbout the RoleWe are seeking a highly experienced AI Architect to lead the design, development, and implementation of next-generation Artificial Intelligence solutions. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, Python, and cloud platforms such as AWS, Azure, or GCP.As an AI Architect, you will define AI strategy, architect scalable AI platforms, guide engineering teams, and drive enterprise-wide AI transformation initiatives.Key Responsibilities
- Design and architect enterprise-scale AI/ML and Generative AI solutions.
- Lead the development of LLM-based applications using advanced prompting, fine-tuning, RAG, and agent-based architectures.
- Define AI solution architecture, integration patterns,



and deployment strategies.
- Build scalable and secure AI platforms leveraging AWS, Azure, or GCP services.
- Establish MLOps best practices for model training, deployment, monitoring, governance, and lifecycle management.
- Collaborate with business stakeholders, product teams, data scientists, and engineering teams to translate business requirements into AI solutions.
- Evaluate emerging AI technologies, frameworks, and tools to drive innovation.
- Ensure AI solutions meet performance, security, scalability, and compliance standards.
- Provide technical leadership, mentorship, and architectural guidance to development teams.
- Drive AI adoption and contribute to strategic technology roadmaps.

Required Skills & ExperienceCore Skills
- AI Architecture
- Generative AI (Gen AI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Python Programming
- MLOps
- Prompt Eng

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