AI Architect

About the role

Systems Limited is looking for a visionary AI Architect with over 10 years of IT experience to lead the design and governance of enterprise‑scale AI solutions. You will shape the AI strategy, build cloud‑native platforms, and collaborate with business leaders, data scientists, and engineering teams to deliver impactful AI innovations.

Key responsibilities

• Define and drive the enterprise AI strategy, architecture roadmap, and governance framework.
• Design scalable, secure, cloud‑native AI platforms for organization‑wide adoption.
• Architect and deliver Generative AI solutions, including LLMs, RAG frameworks, AI copilots, chatbots, and intelligent knowledge systems.
• Develop Agentic AI and Multi‑Agent Systems to automate complex business processes.
• Build end‑to‑end AI/ML pipelines covering model development, deployment, monitoring, and optimization.
• Lead implementation of NLP, computer vision, recommendation engines, forecasting, and predictive analytics.
• Create AI‑ready data platforms, data lakes, vector databases, and enterprise knowledge repositories.
• Establish MLOps/LLMOps practices, CI/CD pipelines, observability, and governance for AI solutions.
• Ensure compliance with security, responsible AI, and data governance standards.
• Evaluate emerging AI technologies and provide strategic recommendations.

Required profile

• 10+ years of experience in AI, machine learning, data engineering, or solution architecture.
• Proven expertise in AI/ML, deep learning, NLP, computer vision, predictive analytics, and generative AI.
• Hands‑on experience with large language models, RAG, prompt engineering, AI agents, and AI copilot development.
• Track record of delivering enterprise AI solutions and leading cross‑functional teams.

Required skills

• Python, SQL
• TensorFlow, PyTorch, Hugging Face
• LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI
• OpenAI, Azure OpenAI, Claude, Gemini, Llama
• LLMs, RAG, Prompt Engineering, AI Agents, Agentic AI, Multi‑Agent Systems, AI Copilot development
• Vector Databases, Knowledge Retrieval Systems, Enterprise Search platforms
• MLOps, LLMOps, CI/CD pipelines, Observability
• Cloud‑native AI platform design and implementation