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Senior AI architect role with niche skills and Bangalore location yields moderate candidate competition.
Highly domain-specific ML/AI leadership and MLOps skills limit cross-industry transferability.
Explicit 10+ years and 3+ years AI leadership plus MLOps and cloud requirements enforce strict filtering.
Lead and manage a high-performing software engineering team focused on AI/ML integration in unified communication products, ensuring timely delivery of AI-powered features.
Define and execute the technical strategy and architecture for AI/ML capabilities across product portfolio, overseeing full AI/ML lifecycle including deployment and monitoring in production.
Collaborate cross-functionally with product management, AI research, data governance, and legal teams to align AI solutions with business needs and compliance requirements.
Minimum 10 years professional software engineering experience, with at least 3 years in technical leadership or management overseeing AI/ML or data-intensive teams.
Experience with full lifecycle of production-grade machine learning models (MLOps).
Strong programming skills in Python and Java/C++, with familiarity in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related technical field.
Proven ability to design and implement scalable, cloud-native AI architectures on platforms such as AWS, Azure, or GCP.
Experienced in driving AI technical innovation and integrating advanced AI features (e.g., natural language processing, agentic AI assistants) in enterprise software products.
Effective in collaborating across technical, product, and compliance teams, capable of communicating complex AI concepts to varied audiences including executive leadership.