Azure CXP Agentic AI and AI/ML
Location: Hyderabad
Exp: 5Yrs
JD:
Job Description:
Our team is at the heart of delivering scalable resilient and intelligent solutions that empower customer engineering teams across the organization. We are seeking a highly experienced and innovative individual with a strong development experience and focus on AI/ML agentic systems and full stack development to join the team. This role offers the opportunity to lead the development of next-generation intelligent platforms The selected candidate will be mainly focusing on developing the agentic AI systems to transform Azure support.
Key Responsibilities:
- Architect design and implement scalable software solutions using Azure AI
- Develop intelligent agentic systems capable of autonomous decision-making and task execution.
- Build and optimize AI agents using AI Foundry Python and reinforcement learning techniques.
- Develop full stack applications with a strong emphasis on backend services using C# and cloud-native technologies.
- Design and implement synthetic data generation pipelines to support training and evaluation of agentic models.
- Collaborate with product managers researchers and engineering teams to define technical requirements and deliver innovative solutions.
- Drive technical excellence through mentorship code reviews and adoption of best practices.
- Own the end-to-end lifecycle of software components including design development testing deployment and maintenance.
- Contribute to architectural decisions scalability strategies and long-term technical vision.
- Evaluate and integrate emerging technologies to enhance platform capabilities.
- Ensure high standards of software quality performance and security.
Preferred Qualifications:
- Bachelors degree in computer science Engineering or related field.
- Experience in software development with a strong track record of delivering complex systems.
- Experience Python and C# with deep experience in AI/ML and full stack development.
- Hands-on experience with AI Foundry agentic systems and reinforcement learning.
- Experience of data structures algorithms system design and distributed computing.
Preferred Qualifications:
- Bachelors/masters in computer science AI or related field.
- Experience with CI/CD pipelines DevOps practices and container orchestration (e.g. Kubernetes).
- Expertise in synthetic data generation simulation environments and AI evaluation frameworks.
- Proven leadership in driving technical initiatives and mentoring engineering teams.