AI Architect.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm operating at the intersection of finance, accounting, and technology. They are committed to driving digital transformation for their diverse portfolio of international clients through advanced data and artificial intelligence solutions. The firm fosters a culture of innovation, continuous learning, and high-performance excellence.
About the role.
We are looking for an experienced AI Architect to join our team in Bengaluru. This role focuses on designing and deploying scalable machine learning pipelines, optimizing large language models, and building robust infrastructure for model inferencing. You will work in a hybrid environment, collaborating with cross-functional teams to deliver cutting-edge AI solutions.
What you will do.
- Design and implement RAG and LLM pipelines for experiment, model, and feature management.
- Develop high-performance APIs for large-scale model inferencing.
- Optimize LLM and LVM models to improve accuracy and reduce resource requirements.
- Manage GPU architecture and distributed training processes for large-scale models.
- Implement container orchestration using Docker and Kubernetes.
- Utilize LLM orchestration frameworks such as Langgraph and Langchain to streamline workflows.
- Maintain and monitor model performance using advanced DevOps and observability tools.
What you bring.
- Degree in B.Tech, M.Tech, MBA, or MS from a premier institute.
- Proven expertise in Gen AI, LLM, and Hugging Face libraries.
- Strong proficiency in Python, PyTorch, TensorFlow, and Keras.
- Hands-on experience with Langchain and Langgraph.
- Deep knowledge of cloud platforms including AWS, Azure, and GCP.
- Experience with database and data warehouse technologies like DynamoDB, MongoDB, PostgreSQL, and BigQuery.
- Strong understanding of DevOps tools including Docker, Kubernetes, FluentD, and Kibana.
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