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About the role
About the Role : We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. Experience : - 10+ years in software architecture or engineering with 5+ years in applied AI/ML system delivery. - Experience in productionizing AI/ML models and building full-stack AI applications in enterprise settings. - Strong Python development skills; proficiency in ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn). - Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant, Pinecone). - Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow. - Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow. - Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI is a big plus. Cloud & Infrastructure : - Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway) and/or Azure (Azure ML, OpenAI, Synapse). - Expertise in containerization (Docker) and orchestration (Kubernetes). - Familiarity with Infrastructure as Code (Terraform, Pulumi, CDK). About the Role : We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. Experience : - 10+ years in software architecture or engineering with 5+ years in applied AI/ML system delivery. - Experience in productionizing AI/ML models and building full-stack AI applications in enterprise settings. - Strong Python development skills; proficiency in ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn). - Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant, Pinecone). - Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow. - Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow. - Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI is a big plus. Cloud & Infrastructure : - Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway) and/or Azure (Azure ML, OpenAI, Synapse). - Expertise in containerization (Docker) and orchestration (Kubernetes). - Familiarity with Infrastructure as Code (Terraform, Pulumi, CDK).