GenAI Applications Development Manager

Requirements

• Lead full lifecycle of GenAI application development: ideation, architecture, development, testing, deployment, and optimization
  
• Partner with AI Architects and Solution Architects to translate business requirements into scalable GenAI solutions
  
• Define product roadmaps, sprint plans, milestones, and delivery timelines for GenAI initiatives
  
• Oversee development of LLM -powered applications including RAG systems, conversational AI, and AI agents
  
• Drive agile delivery with iterative development cycles and rapid prototyping
  

• Lead cross -functional teams: AI/ML Engineers, Prompt Engineers, Full Stack Developers, DevOps/MLOps Engineers, and QA Engineers
  
• Collaborate with AI Architects on system design, model selection, and integration patterns
  
• Foster innovation, experimentation, and continuous learning in AI/ML technologies
  
• Build and scale high -performing AI development teams; drive hiring and capability development
  

• Guide selection and implementation of LLMs, embedding models, and AI frameworks
  
• Oversee prompt engineering strategies, RAG architectures, and vector database implementations
  
• Manage AI/ML infrastructure: cloud platforms (Azure, AWS, GCP), GPU resources, and model serving
  
• Drive MLOps practices: CI/CD pipelines, model versioning, monitoring, and observability
  

• Communicate project progress, risks, and outcomes to senior leadership
  
• Translate complex AI/ML concepts into business -focused language for executive audiences
  
• Present product demos, technical architectures, and ROI analyses to stakeholders
  

• 8+ years in software development, AI/ML, or technology product management
  
• 4+ years leading AI/ML or GenAI development teams and programs
  
• Proven track record delivering production -grade AI applications
  

• Strong understanding of LLMs (GPT, Claude, Llama), prompt engineering, RAG architectures, and AI agents
  
• Proficiency in AI/ML platforms: LangChain, LlamaIndex, Hugging Face, OpenAI/Azure OpenAI APIs
  
• Understanding of full stack development: Python, JavaScript/TypeScript, REST APIs, microservices
  
• Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tooling
  

• Excellent communication skills; ability to influence technical and business stakeholders
  
• Strong product thinking with focus on user experience and business outcomes
  
• Proven ability to build, mentor, and scale high -performing technical teams
  

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or related field
  
• AI/ML or Product Management certifications are a plus
  

• Prior hands -on experience as a software engineer, ML engineer, or data scientist
  
• Experience building AI products in regulated industries (healthcare, finance)
  
• Knowledge of agentic AI systems and multi -agent architectures
  
• Experience with enterprise AI platforms (Azure AI, AWS SageMaker, Databricks)
  

• Lead cutting -edge GenAI product development with high visibility to senior leadership
  
• Ownership of innovative AI products from inception to production
  
• Work with talented AI architects, engineers, and domain experts
  
• Continuous learning and growth in the rapidly evolving GenAI space