Associate Distinguished Engineer (Agentic AI Architect)

**Company Description** **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! **Job Description** **Requirements** * Experience : 13\+ years * Strong experience in AI/ML, Data Science, Intelligent Automation, or Generative AI, including enterprise\-scale solution architecture. * Strong expertise in designing and implementing Agentic AI solutions and AI application architectures. * Hands\-on experience with multi\-agent systems, autonomous workflows, and AI orchestration frameworks. * Deep understanding of reasoning frameworks such as ReAct, Plan\-and\-Execute, Reflection, and Tree\-of\-Thoughts. * Strong experience designing enterprise AI applications leveraging RAG, GraphRAG, Knowledge Graphs, Semantic Search, and Enterprise Search. * Expertise in LLM\-powered applications, prompt engineering, embeddings, semantic retrieval, model evaluation, and fine\-tuning. * Hands\-on experience with AI application frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, OpenAI Agent SDK, Google ADK, and MCP (Model Context Protocol). * Strong programming skills in Python, along with proficiency in Java, JavaScript/TypeScript, C\#, Go, or similar programming languages. * Experience building production\-grade AI applications using APIs, microservices, distributed systems, and cloud\-native architectures. * Strong knowledge of vector databases, graph databases, enterprise data platforms, and AI engineering best practices. * Experience implementing AI\-assisted software development workflows, developer productivity tools, and AI\-enabled application development. * Expertise in cloud platforms such as AWS, Azure, or GCP, along with Kubernetes, containerization, CI/CD, DevSecOps, MLOps, LLMOps, and AgentOps. * Strong understanding of AI governance, observability, monitoring, evaluation frameworks, and responsible AI practices. * Excellent consulting, stakeholder management, communication, and presentation skills. * Proven ability to lead cross\-functional teams, mentor technical professionals, and drive enterprise AI transformation initiatives. * Experience across industries such as Financial Services, Retail, Telecom, Manufacturing, Healthcare, or CPG is preferred. * Experience with Knowledge Graphs, ontology design, semantic data models, AI evaluation frameworks, or open\-source AI contributions is an added advantage. * Cloud Architect and AI certifications are preferred. **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. **Qualifications** Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.