Location: India
Job Type: Full Time/Lateral
Status: Active
Posted: 2026-04-13 06:07:57
Responsibilities:
Strategy and Vision:
Develop and maintain the overall AI architecture roadmap aligned with business goals and technology trends.
Identify and evaluate emerging AI technologies and assess their potential impact on the business.
Collaborate with stakeholders to define AI use cases, prioritize projects, and secure necessary resources.
Architecture Design:
Design and document end to end AI architectures, considering scalability, security, performance, and cost effectiveness.
Define data architectures for AI solutions, including data ingestion, storage, processing, and governance.
Select and evaluate appropriate AI/ML platforms, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit learn, Cloud AI services).
Development and Implementation:
Provide technical guidance and mentorship to AI/ML engineers and data scientists.
Lead the development of AI solutions.
Ensure AI solutions adhere to industry best practices for security, privacy, and ethical considerations.
Collaboration and Communication:
Work closely with business stakeholders, product managers, engineers, and data scientists to define and implement AI solutions.
Communicate complex technical concepts effectively to both technical and non technical audiences.
Participate in industry events and contribute to the company's AI thought leadership.
Data Engineering & Infrastructure:
Design and oversee the implementation of data pipelines and infrastructure to support AI/ML models.
Ensure data quality and integrity for training and inference.
AI and Gen AI Architecture