Job Description
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
Job Description Revision Date: 3/2026
Job Number
Job Title:
Senior Application Developer - AI
Typical Position Title: Senior Application Developer, AI
Typically Reports To Title
IT Manager, Applications Development
FLSA Status (U.S. Only)
Non-Exempt -OR- Exempt
General Summary
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.
Duties & Responsibilities
- AI Architecture & Solution Leadership
- 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
- Advanced Application Development & Integration
- 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
- Cloud & Platform Enablement
- 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
- Leadership & Collaboration
- 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
Accountability / Impact of Job
Check the box that indicates the scope of this position's accountability and detail the locations of accountability.
Local
(Accountable to single country)
Regional
(Accountable to multiple countries)
Global
(Accountable to multiple continents)
List either the country (local), the countries (regional), or the multiple continents (global) impacted:
North America / South America / Europe / Africa / Asia / Australia
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Minimum Job Specifications
Is this a job progression
Yes -OR- No
If this job is part of a progression, outline minimum requirements per grade in the designated section.
Education
RELATED EDUCATION & EXPERIENCE
(Education and experience must be in related field). Select all that apply.
FILL OUT SECTIONS BELOW ONLY IF THIS JOB IS A PART OF A JOB PROGRESSION.
Grade 9
High School degree
Associate's in related curriculum
Bachelor's degree in computer science, MIS, or related discipline
Master's in related curriculum such as
Skills Required
Must have,
- 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
