Associate Distinguished Engineer (Agentic AI Architect)

Requirements Experience : 13 yearsRelevant 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 : Bachelors or masters degree in computer science Information Technology or a related field. Remote Work : No Employment Type : Full-time Department / Functional Area: Engineering Experience: years Vacancy: 1 .

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