Job Description
Key Responsibilities :
Leadership & Strategy
Define and execute the AI engineering roadmap aligned with organizational goals.
Lead, mentor, and grow high-performing AI engineering teams.
Collaborate with executive leadership, product management, and business stakeholders to identify AI prospects and prioritize initiatives.
Establish engineering best practices, coding standards, and AI governance frameworks.
Drive innovation by evaluating emerging AI technologies and industry trends.

AI Solution Development
Architect, design, and oversee the development of scalable AI and machine learning solutions.
Lead the implementation of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent automation solutions.
Ensure AI models are production-ready, scalable, secure, and maintainable.
Guide the development of AI APIs, microservices, and cloud-native AI applications.

Engineering & MLOps
Build and manage enterprise AI platforms and MLOps pipelines.




Establish CI/CD processes for AI model deployment and lifecycle management.
Implement monitoring, model versioning, drift detection, and performance optimization.
Ensure AI systems meet security, compliance, and governance requirements.

Collaboration
Partner with Data Science, Data Engineering, DevOps, Security, and Product teams to deliver AI-driven products.
Work with business leaders to translate business requirements into scalable AI solutions.
Communicate technical concepts effectively to executive and non-technical stakeholders.

Delivery & Operations
Oversee end-to-end AI project delivery from ideation to production.
Manage project timelines, budgets, risks, and resource planning.
Ensure high availability, reliability, and performance of AI platforms.
Drive continuous improvement through automation and operational excellence.

Required Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, Data Sc

📌 Associate Director Chennai (India)
🏢 Sampoorna Consultants
📍 India