Associate Director Technology

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Roles and Responsibilities:

• Experience: 13+ years
• Strong experience in AI/ML, Data Science, Intelligent Automation, or Generative AI, including enterprise-scale solution architecture.
• Strong expertise in artificial intelligence architectures such as Agentic AI and machine learning algorithms like LangGraph.
• Proficiency in programming language Python .
• Strong expertise in designing and implementing Agentic AI solutions and AI application architectures.
• Strong experience in Design, prototype, and scale production-grade AI applications focusing on AI Agents, Knowledge Graphs, and Databricks AI (Genie, MLOps)to solve complex enterprise use cases like NLP-to-SQL and unstructured document Q&A.
• Should have hands-on experience building agentic workflows (e.g., LangGraph, AutoGen, CrewAI) and agent loops.
• Should have experience with Knowledge Graphs (e.g., Neo4j) and implementing GraphRAG / Hybrid Retrieval.
• Should have experience with Databricks Genie Agents, Genie Ontology, MLflow, and Databricks Vector Search / Unity Catalog
• Should be able to build text-to-SQL agents with schema mapping and query execution safety.
• Layout-aware parsing, chunking, and Q&A retrieval over complex PDFs/documents.

Responsibilities

• Design and architect enterprise-scale Agentic AI and Generative AI solutions aligned with business objectives.
• Define scalable architectures for multi-agent collaboration, autonomous workflows, human-in-the-loop systems, and intelligent orchestration.
• Lead the design and implementation of advanced reasoning frameworks, agent communication protocols, memory management, and tool integration strategies.
• Establish AI governance frameworks, guardrails, evaluation methodologies, observability standards, and production best practices.
• Architect enterprise knowledge systems leveraging RAG, GraphRAG, Knowledge Graphs, Semantic Search, and Enterprise Search technologies.
• Design retrieval architectures that integrate structured and unstructured enterprise data sources.
• Define memory architectures, context management strategies, and enterprise knowledge frameworks for AI applications.
• Evaluate and optimize LLM selection, orchestration, inference strategies, and model performance across commercial and open-source platforms.
• Architect scalable AI platforms supporting enterprise-wide AI workloads, reusable accelerators, and reference architectures.
• Establish engineering standards for AI Engineering, LLMOps, AgentOps, MLOps, deployment, monitoring, and lifecycle management.
• Define integration patterns using APIs, microservices, event-driven architectures, and workflow orchestration frameworks.
• Drive adoption of AI-enabled software development practices across the SDLC, including coding, testing, documentation, deployment, and maintenance.
• Act as a trusted advisor to business and technology stakeholders on AI strategy, architecture, and enterprise transformation initiatives.
• Conduct architecture assessments, discovery workshops, AI strategy engagements, and solution design sessions.
• Lead Proof of Concepts (PoCs), MVPs, and enterprise AI implementations from concept through production deployment.
• Mentor architects, engineers, and data scientists while promoting engineering excellence and architectural best practices.
• Support solution development activities including proposals, RFP responses, effort estimation, and executive presentations.
• Collaborate with cross-functional teams to deliver scalable, secure, and high-performance AI solutions that meet business and technology goals.
• Continuously evaluate emerging AI technologies, frameworks, and industry trends to drive innovation and enhance enterprise AI capabilities.