Vault Architect

Axtria India opening for Vault Architect in Bangalore, India. Job Description Print Preview Apply Save Job Return to List Position Summary We are seeking a skilled and experienced AI Engineer to design, build, and operate production-grade generative AI capabilities. This role focuses on developing advanced Retrieval-Augmented Generation (RAG) pipelines, sophisticated multi-agent systems, and robust automated evaluation frameworks. The ideal candidate will bridge the gap between applied data science and rigorous software engineering, focusing on building scalable, secure, and cost-efficient AI-powered products. Job Responsibilities Gen AI Application Architecture: Architect and deploy production-grade LLM applications using microservices (e.g., Fast API) and robust software engineering practices, including APIs, integration testing, and CI/CD. Advanced RAG Engineering: Build and optimize end-to-end RAG pipelines, including document ingestion, semantic chunking strategies, metadata enrichment, vector database indexing (e.g., Azure AI Search), hybrid search (e.g., BM25 + vectors), and reranking to ground model outputs and minimize hallucinations. Agentic AI Workflows: Design and implement agentic AI solutions, incorporating tool-calling, state management, memory architectures, planning vs. reacting agent design, reflection loops, and multi-agent coordination using frameworks like Lang Graph and Auto Gen. Develop human-in-the-loop systems for verification and control. LLMOps & Lifecycle Management: Establish and manage operational standards for the AI lifecycle, including model fine-tuning, prompt versioning, semantic caching, rate limiting, and dynamic model routing to optimize for latency, cost (token economy), and performance. Implement CI/CD pipelines for AI/ML workloads. Model Evaluation & Observability: Develop and implement automated evaluation loops using "LLM-as-a-judge" methodologies to assess faithfulness, relevance, and toxicity. Monitor model drift, performance, and reliability using frameworks such as RAGAS, Tru Lens, and Deep Eval. AI Safety & Governance: Implement strict guardrails (e.g., Ne Mo Guardrails, Llama Guard) to protect against prompt injection, data leakage, and other vulnerabilities, ensuring alignment with enterprise Responsible AI standards. Education Bachelor of Engineering Master of Technology in Information Technology or Computer Work Experience 10+ years of experience in a pharma analytics company or with a Pharma company in an analytics role Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of resources managed Skills Apply Save Job Return to List Email this job to a friend   The job has been sent to Please provide the information below Job title: * Your friend’s email address: Message: * Confirm you are not a robot: Send Cancel