Associate Distinguished Engineer (Agentic AI Architect)

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 :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time