Associate Distinguished Engineer (Agentic AI Architect) at Nagarro Software Pvt Ltd

, , India -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, Multi-agent Systems, Generative AI, LLM Frameworks, Python, RAG, Enterprise Architecture, Prompt Engineering, Vector Databases, Knowledge Graphs, Cloud Platforms, MLOps, LLMOps, AgentOps, Microservices, Stakeholder Management

Industry

IT Services and IT Consulting

Description

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 Relevant experience in AI/ML, Data Science, Intelligent Automation, or Generative AI, including architecting and delivering enterprise-scale AI solutions. Strong expertise in Agentic AI, multi-agent systems, and enterprise AI application architecture. Proven experience designing autonomous AI workflows, agent orchestration, hierarchical agent systems, and human-in-the-loop architectures. Deep understanding of AI application solution design, enterprise architecture principles, and scalable distributed systems. Extensive experience with LLM application frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, OpenAI Agent SDK, Google ADK, and Model Context Protocol (MCP). Strong expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), GraphRAG, Agentic RAG, semantic search, embeddings, vector databases, and knowledge graphs. Experience designing enterprise knowledge systems, memory architectures, context management, and retrieval frameworks. Strong programming skills in Python with proficiency in at least one additional language such as Java, JavaScript/TypeScript, C#, or Go. Experience developing production-grade AI-enabled applications using modern software engineering practices. Strong knowledge of APIs, microservices, distributed systems, cloud-native application development, and event-driven architectures. Experience with cloud platforms including Azure, AWS, or Google Cloud Platform. Hands-on experience with Kubernetes, containerization, CI/CD pipelines, DevSecOps, MLOps, LLMOps, and AgentOps. Experience implementing AI governance, guardrails, observability, monitoring, evaluation frameworks, and responsible AI practices. Familiarity with AI-assisted software development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, OpenAI Codex, and AI-powered SDLC platforms. Strong consulting, stakeholder management, and executive communication skills. Proven experience leading enterprise AI transformation initiatives, technical workshops, solution assessments, and architecture reviews. Experience preparing technical proposals, RFP responses, solution estimations, and executive presentations. Knowledge of Knowledge Graphs, ontology design, semantic data models, AI evaluation frameworks, and synthetic data generation is an added advantage. Industry experience across Retail, Manufacturing, Telecom, Financial Services, Healthcare, CPG, or similar enterprise domains is preferred. Responsibilities Architect and design enterprise-scale Agentic AI and Generative AI solutions aligned with business objectives and technology strategies. Define scalable architectures for multi-agent collaboration, autonomous workflows, hierarchical agent systems, planners, orchestrators, supervisors, and human-in-the-loop processes. Design and implement advanced reasoning frameworks including ReAct, Plan-and-Execute, Reflection, Tree-of-Thoughts, and other agentic AI patterns. Develop enterprise AI architectures incorporating RAG, GraphRAG, Knowledge Graphs, Semantic Search, Enterprise Search, and intelligent knowledge systems. Define strategies for agent communication, memory management, context handling, tool integration, and lifecycle management. Architect scalable AI platforms supporting enterprise-wide agentic workloads with robust governance, security, and observability. Establish standards and best practices for AI Engineering, AgentOps, LLMOps, MLOps, AI governance, evaluation, monitoring, and compliance. Design reusable AI accelerators, reference architectures, enterprise frameworks, and AI platform capabilities. Evaluate commercial and open-source LLMs, optimize model selection, orchestration strategies, and inference performance. Integrate AI solutions with enterprise applications, APIs, microservices, event-driven systems, and cloud-native platforms. Drive AI-assisted software development practices across the SDLC, including requirements analysis, coding, testing, documentation, deployment, and maintenance. Lead AI discovery workshops, architecture assessments, proof-of-concepts, MVPs, and enterprise transformation initiatives. Provide strategic consulting to business and technology leaders on AI adoption, architecture, governance, and innovation. Mentor architects, engineers, data scientists, and technical teams by establishing architecture standards and AI engineering best practices. Support presales activities including solutioning, proposals, RFP responses, effort estimation, demonstrations, and executive presentations. Collaborate with cross-functional teams to deliver innovative, secure, scalable, and production-ready AI-enabled enterprise solutions. Drive continuous innovation by evaluating emerging AI technologies, frameworks, and industry trends to enhance organizational AI capabilities and competitive advantage. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Service Region: South Asia

Responsibilities

Architect and design enterprise-scale Agentic and Generative AI solutions, focusing on multi-agent collaboration and autonomous workflows. Lead AI transformation initiatives, establish engineering standards, and provide strategic consulting to business leaders.