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Salary
≈ $32k – $78k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 17, 2026. Symphoni HR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.

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.

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.

Responsibilities

  • 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.

Requirements

  • 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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