Role Overview We are seeking an experienced GenAI Applications Development Manager to lead end-to-end development and delivery of Generative AI products. This role bridges AI architecture, product development, and engineering execution. You will collaborate with AI Architects, Solution Architects, AI/ML Engineers, Prompt Engineers, and Full Stack Developers to build production-ready, scalable AI applications. Requirements Key Responsibilities GenAI/AI Program & Delivery Management • 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 Team Leadership & Collaboration • 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 GenAI Technology & Platform Oversight • 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 Stakeholder Communication & Reporting • 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 Required Skills & Qualifications Experience • 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 Technical Knowledge • 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 Leadership & Soft Skills • 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 Education • 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 Nice to Have • 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) What This Role Offers • 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