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The information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Job Overview: CommScope is seeking a Senior Application Developer - AI to lead the design, development, and delivery of AI-enabled enterprise solutions across internal business platforms. This role focuses on architecting, building, and scaling Generative AI, machine learning, and intelligent automation capabilities integrated into modern web and cloud-based applications. The Senior Application Developer - AI acts as a technical leader, driving solution design, influencing best practices, mentoring team members, and partnering closely with architecture, security, DevOps, and business stakeholders. The role requires deep hands-on expertise, independent technical decision-making, and ownership of end-to-end AI solution delivery in a production enterprise environment.
Job Responsibility:
Lead the design and implementation of end-to-end AI solutions aligned with enterprise architecture standards
Architect and implement Generative AI and LLM-based solutions, including advanced use cases such as RAG-driven assistants and intelligent automation
Define and govern AI integration patterns, prompt strategies, and workflow orchestration
Ensure AI solutions follow responsible AI, security, and data governance principles
Design and oversee backend services and APIs that consume AI capabilities
Guide integration of AI features into enterprise web applications and business processes
Ensure AI solutions are scalable, secure, performant, and production-ready
Review designs, code, and implementations for quality and maintainability
Drive effective use of cloud-based AI platforms and services
Partner with DevOps and security teams on CI/CD, monitoring, governance, and cost optimization
Evaluate emerging AI tools and technologies and recommend adoption aligned with business and technology roadmaps
Mentor and guide junior developers on AI and enterprise application best practices
Lead technical discussions with architects, functional leads, and business stakeholders
Own technical documentation, architectural decisions, and solution standards
Support critical production issues and continuous improvement initiatives
Requirements:
5+ years of experience in enterprise application development
Strong expertise in Python for AI / ML and Generative AI workflows, including orchestration and data preparation
Hands-on experience with Generative AI platforms and LLM services (e.g. Azure OpenAI, Azure AI Studio/Azure AI Foundry, OpenAI APIs, Prompt Flow or equivalent)
Experience designing and implementing RAG-based and LLM-powered solutions
Experience building REST APIs and backend services using modern application frameworks
Strong understanding of cloud platforms (Azure, AWS, or GCP)
Knowledge of enterprise security, authentication, data governance, and responsible AI practices
Ability to lead technical design, influence standards, and mentor other developers
Strong communication, collaboration, and stakeholder-management skills
Nice to have:
Preferred experience with Azure AI services and .NET-based applications
Experience defining AI frameworks, patterns, or standards at an enterprise level
Advanced knowledge of vector databases, embeddings, and semantic search
Experience guiding or integrating AI solutions into workflow or across low-code platforms (e.g., Power Platform) as part of a broader enterprise application ecosystem
Prior experience leading AI solutions from POC to production rollout
Cloud, AI, or architecture certifications
Experience working in large, globally distributed enterprise environments