AI Architect - LLM Solutions

Job Title : AI Architect Location : India - Pune, Bangalore Experience Required : 12+ years Engagement : Full-time Project Type : High-visibility R&D initiative in financial research & data intelligence Job Summary : We are seeking an experienced, hands- on AI Architect (12+ years) to lead technical delivery and client engagement for Agentic AI platforms. The role owns end- to- end design, productionisation and operationalisation of LLM- based solutions (RAG, fine- tuning, model serving) on Azure, and will act as the technical face to the client while leading a cross- functional delivery team. Key Roles & Responsibilities : - Architect and build Agentic AI systems : orchestrate agents, action executors, retrieval layers, and feedback loops. - Design and implement LLM solutions (RAG, retrieval chains, prompt engineering, fine- tuning/LoRA/P-tuning) for production use. - Own model deployment, serving and scaling on Azure (Azure AI, Azure ML, AKS, container registries) and hybrid setups. - Build MLOps & ModelOps pipelines : CI/CD for models and services, automated testing, monitoring, drift detection and rollbacks. - Lead data pipelines for retrieval : vector stores, semantic search, indexing, embeddings, data privacy & access controls. - Implement model explainability, confidence scoring, adversarial protections and prompt security (prompt injection mitigation). - Define and enforce model governance : versioning, reproducibility, lineage, audit trails and compliance. - Collaborate with product, data engineering, security, DevOps and UX to ensure integrated delivery and acceptance. - Mentor and upskill engineers; conduct technical reviews and pair programming; recruit when required. - Act as primary technical contact for clients: present designs, lead architecture reviews, and support RFP/interview processes. Job Title : AI Architect Location : India - Pune, Bangalore Experience Required : 12+ years Engagement : Full-time Project Type : High-visibility R&D initiative in financial research & data intelligence Job Summary : We are seeking an experienced, hands- on AI Architect (12+ years) to lead technical delivery and client engagement for Agentic AI platforms. The role owns end- to- end design, productionisation and operationalisation of LLM- based solutions (RAG, fine- tuning, model serving) on Azure, and will act as the technical face to the client while leading a cross- functional delivery team. Key Roles & Responsibilities : - Architect and build Agentic AI systems : orchestrate agents, action executors, retrieval layers, and feedback loops. - Design and implement LLM solutions (RAG, retrieval chains, prompt engineering, fine- tuning/LoRA/P-tuning) for production use. - Own model deployment, serving and scaling on Azure (Azure AI, Azure ML, AKS, container registries) and hybrid setups. - Build MLOps & ModelOps pipelines : CI/CD for models and services, automated testing, monitoring, drift detection and rollbacks. - Lead data pipelines for retrieval : vector stores, semantic search, indexing, embeddings, data privacy & access controls. - Implement model explainability, confidence scoring, adversarial protections and prompt security (prompt injection mitigation). - Define and enforce model governance : versioning, reproducibility, lineage, audit trails and compliance. - Collaborate with product, data engineering, security, DevOps and UX to ensure integrated delivery and acceptance. - Mentor and upskill engineers; conduct technical reviews and pair programming; recruit when required. - Act as primary technical contact for clients: present designs, lead architecture reviews, and support RFP/interview processes.