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
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Lead full lifecycle of GenAI application development: ideation, architecture, development, testing, deployment, and optimization
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Partner with AI Architects and Solution Architects to translate business requirements into scalable GenAI solutions
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Define product roadmaps, sprint plans, milestones, and delivery timelines for GenAI initiatives
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Oversee development of LLM-powered applications including RAG systems, conversational AI, and AI agents
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Drive agile delivery with iterative development cycles and rapid prototyping
Team Leadership & Collaboration
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Lead cross-functional teams: AI/ML Engineers, Prompt Engineers, Full Stack Developers, DevOps/MLOps Engineers, and QA Engineers
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Collaborate with AI Architects on system design, model selection, and integration patterns
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Foster innovation, experimentation, and continuous learning in AI/ML technologies
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Build and scale high-performing AI development teams; drive hiring and capability development
GenAI Technology & Platform Oversight
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Guide selection and implementation of LLMs, embedding models, and AI frameworks
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Oversee prompt engineering strategies, RAG architectures, and vector database implementations
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Manage AI/ML infrastructure: cloud platforms (Azure, AWS, GCP), GPU resources, and model serving
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Drive MLOps practices: CI/CD pipelines, model versioning, monitoring, and observability
Stakeholder Communication & Reporting
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Communicate project progress, risks, and outcomes to senior leadership
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Translate complex AI/ML concepts into business-focused language for executive audiences
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Present product demos, technical architectures, and ROI analyses to stakeholders
Required Skills & Qualifications
Experience
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8+ years in software development, AI/ML, or technology product management
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4+ years leading AI/ML or GenAI development teams and programs
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Proven track record delivering production-grade AI applications
Technical Knowledge
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Strong understanding of LLMs (GPT, Claude, Llama), prompt engineering, RAG architectures, and AI agents
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Proficiency in AI/ML platforms: LangChain, LlamaIndex, Hugging Face, OpenAI/Azure OpenAI APIs
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Understanding of full stack development: Python, JavaScript/TypeScript, REST APIs, microservices
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Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tooling
Leadership & Soft Skills
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Excellent communication skills; ability to influence technical and business stakeholders
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Strong product thinking with focus on user experience and business outcomes
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Proven ability to build, mentor, and scale high-performing technical teams
Education
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Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or related field
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AI/ML or Product Management certifications are a plus
Nice to Have
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Prior hands-on experience as a software engineer, ML engineer, or data scientist
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Experience building AI products in regulated industries (healthcare, finance)
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Knowledge of agentic AI systems and multi-agent architectures
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Experience with enterprise AI platforms (Azure AI, AWS SageMaker, Databricks)
What This Role Offers
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Lead cutting-edge GenAI product development with high visibility to senior leadership
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Ownership of innovative AI products from inception to production
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Work with talented AI architects, engineers, and domain experts
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Continuous learning and growth in the rapidly evolving GenAI space
