Senior Application Developer, AI

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

CommScope is seeking a Senior Application Developer - AI to lead the design development and delivery of AIenabled 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 cloudbased 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 decisionmaking and ownership of endtoend AI solution delivery in a production enterprise environment.

• AI Architecture & Solution Leadership

Lead the design and implementation of endtoend AI solutions aligned with enterprise architecture standards

Architect and implement Generative AI and LLMbased solutions including advanced use cases such as RAGdriven 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 productionready

Review designs code and implementations for quality and maintainability

• Cloud & Platform Enablement

Drive effective use of cloudbased 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

Check the box that indicates the scope of this positions 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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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.

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

Associates in related curriculum

Bachelors degree in computer science MIS or related discipline

Masters in related curriculum such as

• 5-8 Years of Experience

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
• Handson 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 RAGbased and LLMpowered 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 stakeholdermanagement skills
  
  

Nice to have

• Preferred experience with Azure AI services 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 lowcode 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