GenAI Applications Development Manager

Job_Description":"

**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

              • Bachelors or Masters 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

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