AI Architect- Immediate Joiner

We are looking for an experienced AI Architect to lead the design and architecture of scalable, secure, and production-ready AI solutions. The ideal candidate will have strong expertise in Generative AI, LLMs, Machine Learning, Cloud Architecture, MLOps, and AI system design, along with the ability to translate business requirements into robust AI solutions.

Key Responsibilities

• Define the overall AI/ML architecture and technical strategy for enterprise solutions.
• Design scalable and secure architectures for Generative AI, LLM, NLP, Computer Vision, and Machine Learning applications.
• Architect RAG-based applications, AI agents, conversational AI, and enterprise LLM solutions.
• Evaluate and select appropriate AI models, frameworks, platforms, and technologies.
• Design LLM pipelines, including prompt engineering, embeddings, vector search, fine-tuning, evaluation, and deployment.
• Architect integrations with cloud AI services, APIs, enterprise applications, and data platforms.
• Define architecture for AI model serving, monitoring, governance, security, and scalability.
• Establish MLOps/LLMOps practices covering CI/CD, model versioning, deployment, monitoring, and lifecycle management.
• Design data pipelines and integrations required for AI/ML workloads.
• Ensure AI solutions meet requirements for security, privacy, compliance, performance, and cost optimization.
• Provide technical leadership and mentorship to AI/ML engineers and development teams.
• Conduct architecture reviews and create technical documentation, standards, and best practices.
• Collaborate with business stakeholders, product managers, engineering teams, and data teams.
• Stay current with emerging technologies in Generative AI, Agentic AI, LLMs, and AI infrastructure.

Required Skills

• Strong experience in AI/ML architecture and enterprise solution design.
• Excellent knowledge of Machine Learning, Deep Learning, NLP, and Generative AI.
• Strong hands-on experience with LLMs, RAG, embeddings, vector databases, prompt engineering, and AI agents.
• Strong programming experience in Python and familiarity with modern AI/ML frameworks.
• Experience with AWS, Azure, or GCP cloud architecture.
• Strong understanding of microservices, APIs, distributed systems, and scalable application architecture.
• Experience with MLOps/LLMOps, model deployment, monitoring, and lifecycle management.
• Knowledge of databases, data lakes, data warehouses, and enterprise data architectures.
• Experience with Docker, Kubernetes, CI/CD, and containerized AI workloads.
• Strong understanding of AI security, governance, responsible AI, and data privacy.

Preferred Technologies

• LLM/AI: OpenAI, Azure OpenAI, Anthropic, Gemini, Hugging Face
• AI Frameworks: LangChain, LlamaIndex, Semantic Kernel
• ML: PyTorch, TensorFlow, Scikit-learn
• Vector Databases: Pinecone, FAISS, Weaviate, Milvus, Chroma
• Cloud: AWS, Microsoft Azure, Google Cloud Platform
• DevOps/MLOps: Docker, Kubernetes, MLflow, GitHub Actions, Azure DevOps
• Data: SQL, NoSQL, Spark, Data Lakes/Warehouses