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# Technology Lead | Development Methodology | Infosys J2EE Development methodology

- **Company:** IMCS Group
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Data Security, Distributed Systems, Java Platform Enterprise Edition (J2EE), Monitoring of Systems, Health Information Technology, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Process Driven Development, OpenAI, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, IT Architecture, Generative AI, Agentic-AI, Fastapi, AI Platforms, Pyspark, Real-time Inference, Deployment Automation, HuggingFace, Machine Learning Operations, Virtual Agents, Restful APIs, Model Context Protocol, Document Classification, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/technology-lead-development-methodology-infosys-j2ee-development-methodology-boston-ma--f3d723a8-78eb-4424-9d8f-1748352677d5

## About the Role

Technical Leadership, Java Platform Enterprise Edition (Java EE/J2EE), Diversity Recruiting, Fortune 500 Customers, Finance, Call Centers, Customer Support/Service, Health Information Technology, Java Platform Enterprise Edition (Java EE/J2EE), Technical Leadership, Should be a very competent and senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML systems, Agentic AI, Lang Chain, Lang Graph, Generative AI and RAG-based applications using Python, PyTorch, TensorFlow, PySpark, OpenAI APIs, Hugging Face Transformers, with expertise in LLMs, prompt engineering, NLP, distributed computing, AI architecture design, real-time inference, MLOps and cloud-native deployments Machine Learning, along with strong experience in Responsible AI, model monitoring and scalable production AI platforms.
Must carry the knowledge to design scalable model serving architectures using FastAPI, Docker, implementing low-latency REST APIs, auto-scaling inference endpoints, and resilient deployment strategies.
Should have knowledge to build NLP and Generative AI pipelines using PyTorch, Hugging Face Transformers, enabling semantic analysis, text classification, embeddings generation, and intelligent document processing workflows.
Must have know-how on AI agent workflows using LangChain Agents and the Model Context Protocol (MCP), establishing secure, standardized protocol layers for multi-step reasoning, dynamic tool orchestration, and enterprise-grade data access.

Minimum years of experience
8-10 years

## Description

Top 3 responsibilities you would expect the Subcon to shoulder and execute
Develop
Deploy
Testing