Senior Application Developer, AI
CommScope View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
- 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
- 5-8 Years of Experience
- 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
- 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