Lokesh Kosuri

About Lokesh Kosuri

Enterprise AI Engineering Leader | Agentic AI & GenAI Platforms | DigitalTransformationI lead enterprise AI transformation at one of the world’s largest telecommunications companies, building production-grade GenAI and agentic systems that operate securely, at scale, and with measurable business impact. What I Do:Architect multi-tenant Agentic AI platforms powering Network Operations, Consumer systems, and SDLC modernization. My focus is operational AI — not prototypes. From RAG pipelines and stateful multi-agent orchestration to memory-aware reasoning, I design systems that are observable, governed, and enterprise-ready. Leadership Impact:Lead and mentor a 20+ member cross-functional team across Agentic AI/ML, Data, Full Stack, and Platform Engineering. Delivered 10+ production AI agents reducing MTTR, accelerating release cycles, and improving developer productivity. Technical Depth:LLM engineering (fine-tuning, LoRA/QLoRA), embeddings and semantic retrieval, LLMOps, evaluation frameworks, and AI governance. Implemented prompt lifecycle management, tool-call telemetry, latency/cost governance, and Responsible AI guardrails.I’m passionate about building agentic systems that augment human capabilities — moving enterprises from AI experimentation to AI execution.Open to conversations around enterprise Agentic AI platform strategy, large-scale GenAI deployment, and senior AI leadership roles.Core Skills & Expertise : LLM APIs & Models: OpenAI, Google Gemini, Azure OpenAI, Anthropic (Claude), open-source LLaMA variants.Vector Databases: FAISS, pgvector, Pinecone, Milvus, ChromaDB, Redis.Agentic AI: CrewAI, AutoGen, LangGraph, multi-agent orchestration, autonomous task planning.Exp. Tracking & LLM Eval: MLflow, Langfuse/LangSmith, custom evaluation pipelines, prompt/version control, automated agent testing.AI Safety & Risk: Red teaming, adversarial prompt testing, hallucination detection, output validation, human-in-the-loop (HITL).Observability: OpenTelemetry (tracing), Prometheus (metrics), centralized logging.MLOps & Scalability: Kubernetes, Airflow, Spark, cloud-native ML (AWS/GCP/Azure).Backend Development: Python, FastAPI, Node.js, RESTful APIs, microservices architecture.Frontend Development: React, TypeScript, API-driven UI integration.Programming & Tools: Python, TypeScript, CI/CD, Terraform, scalable data engineering.

Experience

1. Senior Manager, Agentic Ai Platforms & Product Dev

   Verizon

   Feb 2024 — Present

   Own AI platform roadmap, aligning LLM and Agentic capabilities with Business, Network and SDLC Modernization goalsLead and mentor a 20+ member cross-functional team (Agentic AI/ML, Data, Full Stack, Platform Engineering)Architected a multi-tenant Agentic AI platform with RAG pipelines, stateful orchestration, and secure tool integrationsDesigned agent memory layers (session + semantic retrieval) to enable contextual continuity and grounded reasoningEstablished LLM observability and evaluation frameworks covering prompt tracing, tool-call monitoring, latency, cost, and response qualityImplemented AI governance, guardrails, prompt lifecycle management, and responsible AI controlsDelivered 10+ production AI agents across the SDLC lifecycle, reducing Network Systems MTTR, improving cycle time, and increasing developer productivityBuilt an enterprise Developer SME Assistant leveraging embeddings and contextual retrieval across code, tickets, alerts, and RCAsRegularly present AI strategy, platform architecture, and measurable outcomes to senior leadership.

Education

• Indira Gandhi National Open University

  Master of Computer Applications - MCA

• Krishna University, Machhlipattanam

  Bachelor’s Degree, Computer Science

  2014