AI Architect

Job Title: AI Architect

Experience: 8–15 Years

Location: Pan India

Employment Type: Full-Time

About the Role

We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will have deep expertise in AI/ML technologies, cloud platforms, data engineering, and solution architecture, with the ability to translate business requirements into scalable AI-driven solutions.

Key Responsibilities

• Design and architect end-to-end AI/ML and Generative AI solutions for enterprise applications.
• Lead AI strategy, roadmap planning, and technology selection aligned with business objectives.
• Develop scalable architectures for Machine Learning, Deep Learning, NLP, Computer Vision, and GenAI use cases.
• Architect and implement Retrieval-Augmented Generation (RAG), AI Agents, LLM-powered applications, and vector databases.
• Collaborate with business stakeholders, product teams, data scientists, and engineering teams to deliver AI solutions.
• Define AI governance, model lifecycle management, MLOps, security, and compliance frameworks.
• Design cloud-native AI architectures on AWS, Azure, or Google Cloud Platform.
• Establish best practices for model deployment, monitoring, optimization, and performance tuning.
• Drive innovation by evaluating emerging AI technologies, frameworks, and industry trends.
• Provide technical leadership, mentorship, and architectural guidance to AI and engineering teams.

Required Skills & Qualifications

Must-Have Skills

• 8–15 years of overall IT experience with significant experience in AI/ML architecture.
• Strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI.
• Hands-on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, Mistral, etc.
• Experience in building RAG-based applications and AI Agent frameworks.
• Strong knowledge of AI frameworks such as TensorFlow, PyTorch, LangChain, LlamaIndex, Hugging Face, and MLflow.
• Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Proficiency in Python and AI development ecosystems.
• Experience with MLOps tools and model deployment strategies.
• Strong understanding of data architecture, data pipelines, and data governance.
• Experience with cloud platforms (AWS, Azure, or GCP).

Good-to-Have Skills

• Experience with Multi-Agent AI Systems.
• Knowledge of Responsible AI, AI Governance, and Model Risk Management.
• Exposure to Kubernetes, Docker, and cloud-native architectures.
• Experience in enterprise-scale AI transformation initiatives.
• Certifications in AI, Cloud Architecture, or Data Engineering.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related field.
• Relevant AI/ML and Cloud certifications preferred.

Preferred Candidate Profile

• Strong solution architecture and stakeholder management skills.
• Excellent communication and client-facing experience.
• Ability to lead large-scale AI transformation programs.
• Experience working in Agile and DevOps environments.
• Strong problem-solving and decision-making capabilities.

Why Join Us

• Opportunity to work on cutting-edge AI and Generative AI initiatives.
• Exposure to enterprise-scale digital transformation programs.
• Collaborative and innovation-driven work environment.
• Career growth opportunities in emerging AI technologies.

Apply Now

If you are passionate about architecting next-generation AI solutions and driving innovation through Artificial Intelligence and Generative AI, we would love to hear from you.