GenAI Applications Development Manager

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

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 a