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Job Closed

Gen AI Development Manager

  • Source: Naukri
  • Qualizeal India
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Role: Development Manager

Experience: 12+ years

Role Overview

We are seeking an experienced GenAI Applications Development Manager to lead the development and delivery of scalable Generative AI solutions. This role will drive end-to-end AI product execution while collaborating with AI Architects, Engineers, and cross-functional teams to build enterprise-grade AI applications.

Key Responsibilities

  • Lead the full lifecycle of GenAI application development, from design to deployment
  • Drive delivery of LLM-powered solutions including RAG systems, AI agents, and conversational AI
  • Collaborate with AI Architects and Engineering teams on scalable AI solution design
  • Manage cross-functional teams across AI/ML, Prompt Engineering, Full Stack, DevOps/MLOps, and QA
  • Oversee AI platforms, cloud infrastructure, and MLOps best practices
  • Communicate project updates, risks, and outcomes to stakeholders and leadership

Required Skills & Experience

  • 12+ years in software development, or technology delivery
  • 4+ years leading AI/ML or GenAI teams and programs
  • Strong knowledge of LLMs, Prompt Engineering, RAG, AI agents, and AI frameworks
  • Experience with LangChain, LlamaIndex, Hugging Face, OpenAI/Azure OpenAI APIs
  • Proficiency in Python, REST APIs, microservices, and cloud platforms (Azure/AWS/GCP)
  • Strong leadership, communication, and stakeholder management skills

Preferred

  • Experience in enterprise AI platforms such as Azure AI, AWS SageMaker, or Databricks
  • Background in regulated industries like Healthcare or Finance
  • Exposure to Agentic AI and multi-agent systems

Education

  • Bachelors or Master’s degree in Computer Science, Engineering, AI/ML, Data Science, or related field.

Skills

  • LangChain
  • LlamaIndex
  • hugging-face
  • microsoft-azure
  • Python
  • amazon-web-services
  • google-cloud-platform
  • amazon-sagemaker
  • azure-databricks
  • databricks
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