Experience: 10+ Years
Relevant Experience: 5+ Years in AI/ML System Design
Location: Delhi (Onsite)
About the Role
We are looking for an experienced AI / Solution Architect to design and lead end-to-end AI/ML solutions for enterprise and government applications. The candidate will work closely with Data Science, MLOps, and Engineering teams to build scalable, secure, and compliant AI solutions.
Key Responsibilities
Design end-to-end AI/ML solution architectures.
Define APIs, integration standards, and interoperability frameworks.
Design scalable data and AI/ML architectures.
Lead integration of AI applications with enterprise and digital platforms.
Evaluate cloud and on-premise deployment models.
Ensure security, privacy, scalability, and Responsible AI practices.
Collaborate with Data Science, MLOps, and Engineering teams.
Conduct architecture reviews and provide technical guidance to development teams.
Required Skills
10+ years of total professional experience with 5+ years in AI/ML system design.




Strong experience in AI/ML Solution Architecture.
Hands-on experience with AWS, Azure, or GCP.
Strong knowledge of Microservices, Serverless, Event-driven and Domain-driven architecture.
Experience with LLMs, LangChain, Prompt Engineering and RAG.
Experience with TensorFlow, PyTorch or Hugging Face.
Experience with Vector Databases such as Pinecone or Weaviate.
Robust knowledge of SQL and NoSQL databases.
Experience with REST, GraphQL and WebSocket APIs.
Understanding of IAM/RBAC, encryption, data privacy and AI governance.
Experience designing and deploying AI solutions in enterprise/government environments.
Preferred
AWS Solutions Architect Professional / Azure Solutions Architect Expert / GCP Professional Cloud Architect certification.
Research papers, case studies, or significant open-source contributions.

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