Key Responsibilities

AI Strategy & Leadership
Define and execute the AI roadmap aligned with business objectives.
Mentor and guide AI engineers, software developers, and technical teams.
Establish AI engineering best practices, governance, and responsible AI frameworks

Solution Architecture
Design enterprise-grade AI solutions integrated with React frontends and .NET backend applications.
Define scalable architectures for machine learning, Generative AI, and intelligent automation.
Collaborate with enterprise architects to ensure security, scalability, and maintainability.

AI & Machine Learning Development
Build and deploy Machine Learning and Deep Learning models.
Develop solutions leveraging Large Language Models (LLMs), RAG architectures, AI Agents, and conversational AI.
Design prompt engineering frameworks and evaluation mechanisms for GenAI applications.
Implement model monitoring,



optimization, and performance management.

Stakeholder Management
Engage with business leaders to identify AI use cases and transformation prospects.
Translate business requirements into AI-driven technical solutions.
Present AI strategies, solution designs, and outcomes to executive leadership and customers.

Required Qualifications
Bachelor's or Master's Degree in Computer Science, Information Technology, Artificial Intelligence, or related field.
10+ years of software engineering experience.
4+ years leading AI/ML or Generative AI programs.
Solid experience with React and .NET application development ecosystems.
Experience implementing enterprise-scale AI solutions on Azure cloud.

📌 Gen Ai Application Developer Bengaluru
🏢 Zensar
📍 Bengaluru