Principal AI Architect

Job Title: Principal AI Architect
Location: Chennai, Bang, Hyd, pune
Experience: 12+ Years including minimum 3 to 4 yrs of Architect experience.
Notice: Immediate
Work Mode: Hybrid
About the Role
We are seeking a highly experienced and visionary AI Architect to design, lead, and implement enterprise-scale AI, Machine Learning, and Generative AI solutions. The ideal candidate will have strong expertise in building scalable AI platforms using Databricks, Snowflake, and cloud-native ecosystems, along with hands-on experience in Feature Engineering, RAG (Retrieval-Augmented Generation), and Agentic AI architectures.
This role involves understanding existing product architecture, defining future AI roadmaps, and delivering proof-of-concepts (POCs) to validate design decisions and innovation strategies. You will work closely with cross-functional teams to build intelligent, scalable, secure, and production-grade AI systems.
Key Responsibilities
1. AI, ML & Generative AI Architecture
Define end-to-end architecture for AI/ML and Generative AI systems including data ingestion, feature engineering, model training, deployment, monitoring, and governance
Design and implement scalable Lakehouse-based AI platforms using Databricks and Snowflake
Architect solutions supporting both batch and real-time inference workloads
Lead the design of enterprise-grade GenAI applications using LLMs, RAG pipelines, and Agentic AI frameworks
Establish architectural standards, best practices, and reusable AI frameworks
2. RAG, LLM & Agentic AI Solutions
Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and knowledge pipelines
Architect intelligent AI agents for automation, orchestration, and decision-making workflows
Evaluate and integrate LLMs (OpenAI, LLaMA, etc.) for enterprise use cases
Optimize prompt engineering, embeddings, and context management strategies
Ensure scalability, accuracy, and cost optimization in GenAI deployments
3. Data & Feature Engineering
Design robust data pipelines for structured and unstructured data
Lead feature engineering strategies for ML and AI models
Collaborate with Data Engineering teams to build high-performance data ingestion and transformation pipelines
Implement data governance, lineage, and quality frameworks
4. Cloud & Platform Architecture
Architect AI solutions on cloud platforms such as AWS, Azure, or GCP
Design cloud-native, microservices-based AI systems
Leverage containerization and orchestration tools (Docker, Kubernetes) for scalable deployments
Implement MLOps and LLMOps best practices for CI/CD, monitoring, and lifecycle management
5. POCs, Innovation & Technical Leadership
Conduct Proof of Concepts (POCs) to validate architectural approaches and design considerations
Analyze current product architecture and recommend AI-driven enhancements
Provide technical leadership and mentorship to AI, Data Science, and Engineering teams
Drive innovation by identifying emerging AI/GenAI trends and enterprise adoption opportunities
Collaborate with stakeholders, product managers, and business leaders to translate business needs into AI solutions
6. Governance, Security & Compliance
Define AI governance frameworks including model monitoring, explainability, and ethical AI practices
Ensure compliance with data privacy and enterprise security standards
Implement observability, model performance tracking, and risk mitigation strategies
Required Skills & Qualifications
12+ years of experience in AI/ML architecture, Data Engineering, or Advanced Analytics
Strong expertise in Generative AI, LLMs, RAG, and Agentic AI architectures
Hands-on experience with Databricks, Snowflake, and Lakehouse architecture
Proficiency in Python, PySpark, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with Vector Databases (FAISS, Pinecone, Weaviate, etc.)
Strong knowledge of MLOps/LLMOps tools such as MLflow, Kubeflow, or Azure ML
Experience designing real-time and batch AI pipelines
Deep understanding of Feature Engineering and model lifecycle management
Strong experience with REST APIs, microservices, and scalable system design

Work arrangement
No