We are looking for a Senior AI & Technology Consultant to define enterprise AI architecture, drive AI strategy, and lead the adoption of scalable AI solutions across large organizations. The ideal candidate should have deep expertise in AI/ML, cloud platforms, data architecture, and Generative AI, with experience advising stakeholders on AI implementation, governance, and technology strategy.

Key Responsibilities:

- Define enterprise AI architecture, including compute, cloud, data, model lifecycle, and deployment strategies.

- Identify, evaluate, and prioritize high-impact AI and Generative AI use cases across business functions.

- Provide technical leadership for AI Centers of Excellence (CoE) and AI engineering teams throughout the solution lifecycle.

- Design scalable AI, ML, and Generative AI platforms using cloud-native architectures.

- Evaluate AI tools, platforms, frameworks, and vendors, and recommend technology adoption strategies.

- Define AI reference architectures, deployment standards, and integration guidelines.

- Guide data preparation, feature engineering, model development, validation, deployment, and monitoring.

- Ensure interoperability, scalability, and adherence to enterprise architecture standards.

- Advise on AI governance, cybersecurity, data privacy, responsible AI, and regulatory compliance.

- Mentor engineering teams, AI practitioners, and innovation partners while promoting AI best practices.

- Collaborate with business leaders to translate strategic objectives into AI-enabled solutions.

Required Skills:

- 812 years of experience in AI/ML, Data Science, or enterprise technology consulting.

- Strong expertise in AI architecture, cloud computing, and enterprise data platforms.

- Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks.

- Experience with cloud platforms such as AWS, Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI).

- Strong proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or similar technologies.

- Experience with vector databases, MLOps, API integration, and AI model deployment.

- Strong understanding of AI governance, cybersecurity, data privacy, and Responsible AI principles.

- Experience evaluating AI platforms, tools, and technology vendors.

- Excellent stakeholder management, consulting, presentation, and technical leadership skills.

Education (Mandatory):

- Full-time B.E./B.Tech, M.Tech, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline.