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).