We are looking for an experienced AI Solution Architect to design and deliver scalable AI, Machine Learning, and Generative AI solutions. The candidate will work closely with business, product, data science, engineering, and cloud teams to translate business requirements into secure and scalable AI architectures.

Responsibilities

• Design end-to-end AI/ML and Generative AI solutions for enterprise applications.
• Define AI solution architecture, technology stack, integration patterns, and deployment strategies.
• Work with stakeholders to understand business requirements and translate them into AI solutions.
• Design solutions using LLMs, RAG, NLP, Machine Learning, and AI agents.
• Architect integrations with enterprise applications, APIs, databases, and data platforms.
• Design and implement RAG pipelines, vector databases, embeddings, and prompt engineering solutions.
• Select and evaluate AI/ML models based on business and technical requirements.
• Design AI solutions on Azure, AWS, or Google Cloud Platform.
• Ensure solutions meet requirements for security, scalability, performance, reliability, and cost optimization.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, DevOps, and Product teams.
• Establish best practices for MLOps, LLMOps, AI governance, monitoring, and model lifecycle management.
• Support proof-of-concepts and guide solutions through development, testing, and production deployment.
• Evaluate new AI technologies and recommend appropriate solutions.

Required Skills

• 8+ years of experience in Software/Cloud/AI Architecture.
• Strong experience designing AI/ML and Generative AI solutions.
• Hands-on knowledge of LLMs, RAG, NLP, Machine Learning, embeddings, and vector databases.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar platforms.
• Strong cloud architecture experience with Azure, AWS, or Google Cloud Platform.
• Strong knowledge of Python, APIs, microservices, and distributed systems.
• Experience with databases, data lakes, data pipelines, and enterprise integration.
• Knowledge of MLOps/LLMOps and CI/CD.
• Strong understanding of AI security, data privacy, responsible AI, and governance.
• Excellent communication and stakeholder-management skills.

Preferred Skills

• Experience building AI Agents / Agentic AI solutions.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Experience with Azure AI Search, Pinecone, Weaviate, FAISS, or other vector databases.
• Experience with Docker and Kubernetes.
• Experience in enterprise-scale AI transformation projects.
• Relevant cloud or AI architecture certifications.