Lead - AI/ML Engineering (Databricks & GenAI) (Bengaluru)

Lead - AI/ML Engineering (Databricks & GenAI) (Bengaluru)

12 Oct
|
IndusInd Bank
|
Bengaluru

12 Oct

IndusInd Bank

Bengaluru

Role Details: The AI CoE partners with business, technology, and risk stakeholders to identify high-value AI opportunities and deliver scalable, compliant AI solutions. The team drives end-to-end AI adoption, leveraging GenAI and advanced analytics to transform business processes and create measurable business outcomes.

Leads the design, development and operation of secure, reusable and production-grade AI solutions on Azure and Databricks, combining solid software engineering with practical ML, statistical and evaluation competence.

Overall, Job Description

AI Solution Engineering & Architecture
• Lead the end-to-end engineering of enterprise AI solutions, from technical design and proof of value through production deployment, scaling, monitoring and ongoing enhancement.
• Design modular architectures across application services, AI orchestration, retrieval, model endpoints, data pipelines, enterprise integrations and user-facing channels.
• Build reusable AI engineering components and reference implementations for model access, RAG, document intelligence, agent tools,



prompt execution, evaluation, feedback and observability.
• Make pragmatic build-versus-buy and technology choices while ensuring alignment with enterprise architecture, security, data-governance and platform standards.

Generative AI, RAG & Agent Engineering
• Build production GenAI applications using LLMs, structured outputs, context management, tool calling, model routing, guardrails, retries, fallbacks, caching and human-in-the-loop controls.
• Engineer RAG and enterprise knowledge solutions covering ingestion, parsing/OCR, metadata, chunking, embeddings, hybrid retrieval, reranking, citations, abstention and permission-aware access.
• Design bounded agentic workflows with explicit tool contracts, execution limits, durable state, approval checkpoints, idempotency, failure handling and auditability.
• Determine when conventional software, rules, search, predictive ML, GenAI or a combined appro

📌 Lead - AI/ML Engineering (Databricks & GenAI) (Bengaluru)
🏢 IndusInd Bank
📍 Bengaluru

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