AI Architect

Job Title: AI Architect

Location: Permanent Remote

Shift Timings: 4:30 PM - 1:30 AM (IST)

Experience: 10+ years

About the Role

We are looking for an experienced AI Architecture to design and lead enterprise-scale Generative AI, Agentic AI, Machine Learning, and LLM-based solutions. The ideal candidate will have expertise in AI architecture, LLMs, RAG, Agentic AI, MLOps, and cloud platforms, with a strong background in building scalable, production-ready AI applications.

Key Responsibilities

• Design and architect AI/ML and Generative AI solutions using LLMs, RAG, and Agentic AI.
• Lead the development of scalable AI applications for NLP, multimodal AI, and intelligent automation.
• Build and optimize prompt engineering, LLM fine-tuning, RAG pipelines, and AI agent frameworks.
• Design cloud-native AI architectures on AWS, Azure, or GCP.
• Establish MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management.
• Develop APIs and microservices for AI integration.
• Mentor AI/ML engineers and provide technical leadership.
• Collaborate with business and product teams to translate business problems into AI-driven solutions.
• Ensure AI security, governance, Responsible AI, and performance optimization.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.
• 10+ years of software engineering/AI experience with 5+ years in AI/ML architecture.
• Strong expertise in Python, AI/ML, Deep Learning, NLP, and Generative AI.
• Hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LlamaIndex, OpenAI APIs, and transformer models (GPT, Llama, BERT, T5).
• Strong experience in RAG, Prompt Engineering, Fine-tuning (LoRA/QLoRA), AI Agents, and Vector Databases (Pinecone, FAISS, Weaviate, Milvus).
• Experience with Docker, Kubernetes, FastAPI, REST APIs, MLflow/Kubeflow, and CI/CD pipelines.
• Expertise in AWS (Bedrock/SageMaker), Azure OpenAI, or GCP Vertex AI.

Preferred Qualifications

• Experience with Multimodal AI (Stable Diffusion, CLIP, Whisper).
• Knowledge of Responsible AI, AI Security, and Model Governance.
• Experience leading AI engineering teams and enterprise AI transformation initiatives.
• Contributions to open-source AI projects or research publications are a plus.

Soft Skills

• Strong leadership, communication, and stakeholder management skills.
• Excellent problem-solving and architectural thinking.
• Ability to mentor engineering teams and drive technical excellence.
• Passion for innovation and staying updated with emerging AI technologies.

Why Join Us?

• Work on cutting-edge Generative AI and Enterprise AI projects.
• Lead architecture for globally scalable AI platforms.
• Collaborate with world-class AI engineers and product teams.
• Fully remote role with opportunities to influence AI strategy and innovation.